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    48 vulnerabilities by pydantic

    CVE-2026-107295 (GCVE-0-2026-107295)

    Vulnerability from nvd – Published: 2026-10-08 17:02 – Updated: 2026-10-08 17:53
    VLAI
    Title
    `pydantic-ai-slim` web UI `/api/chat` accepts browser-simple cross-origin requests that can trigger agent tool execution
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 until 1.107.4 and 2.28.0, the Agent.to_web() and clai web development chat endpoint has missing request content-type validation. A website visited by a developer can submit a browser-compatible request to a loopback-hosted chat server, causing the served agent to run and execute tools with the privileges and credentials of the local process; client-relayed approval decisions also leave requires_approval=True tools exposed. Binding to localhost does not prevent a browser page from reaching the loopback address. This issue is fixed in versions 1.107.4 and 2.28.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:53 UTC
    CWE
    • CWE-352 - Cross-Site Request Forgery (CSRF)
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.34.0, < 1.107.4
    Affected: >= 2.0.0b1, < 2.28.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.34.0, < 1.107.4
    Affected: >= 2.0.0b1, < 2.28.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107294 (GCVE-0-2026-107294)

    Vulnerability from nvd – Published: 2026-10-08 16:59 – Updated: 2026-10-09 15:15
    VLAI
    Title
    Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.2 and 2.24.0, web_fetch_tool, the WebFetch local fallback, and remote FileUrl media downloads buffer the complete HTTP response body before enforcing content-size controls. An attacker-influenced URL can stream an arbitrarily large response that exhausts process memory and crashes the worker; affected media types include ImageUrl, DocumentUrl, VideoUrl, and AudioUrl. SSRF protections remain effective, and the impact is limited to availability. This issue is fixed in versions 1.107.2 and 2.24.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 20:23 UTC
    CWE
    • CWE-400 - Uncontrolled Resource Consumption
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.2
    Affected: >= 2.0.0b1, < 2.24.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.2
    Affected: >= 2.0.0b1, < 2.24.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107293 (GCVE-0-2026-107293)

    Vulnerability from nvd – Published: 2026-10-08 16:57 – Updated: 2026-10-08 17:14
    VLAI
    Title
    Pydantic AI OpenTelemetry instrumentation: retry prompt content is not redacted when `include_content=False`
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.3.4 until 1.107.4 and 2.27.1, OpenTelemetry instrumentation configured with InstrumentationSettings(include_content=False) can export retry prompts outside tool calls in gen_ai.input.messages and pydantic_ai.all_messages. Agents using NativeOutput, PromptedOutput, or output validators on text output can therefore disclose validation feedback, including invalid model values quoted by that feedback, to readers of the telemetry backend. Tool-call retries and deployments that do not use include_content=False are not affected by this specific path. This issue is fixed in versions 1.107.4 and 2.27.1.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:14 UTC
    CWE
    • CWE-212 - Improper Removal of Sensitive Information Before Storage or Transfer
    • CWE-532 - Insertion of Sensitive Information into Log File
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 0.3.4, < 1.107.4
    Affected: >= 2.0.0b1, < 2.27.1
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 0.3.4, < 1.107.4
    Affected: >= 2.0.0b1, < 2.27.1
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107292 (GCVE-0-2026-107292)

    Vulnerability from nvd – Published: 2026-10-08 16:26 – Updated: 2026-10-14 01:01
    VLAI
    Title
    Pydantic AI Web chat UI (`Agent.to_web()`, `clai web`): the local chat endpoint does not validate the `Host` header
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 until 2.30.0, the Agent.to_web() and clai web development chat server does not validate the Host header, allowing a website visited by a developer to use DNS rebinding to reach a loopback-hosted agent as a same-origin service. The hostile page can read the served UI and submit chat requests that execute agent tools with the local process's privileges and credentials, causing data disclosure or unwanted side effects. Binding to localhost, Origin checks, and CSRF tokens do not prevent the same-origin DNS rebinding path. This issue is fixed in versions 1.107.5 and 2.30.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-14 01:00 UTC
    CWE
    • CWE-346 - Origin Validation Error
    • CWE-350 - Reliance on Reverse DNS Resolution for a Security-Critical Action
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.34.0, < 2.0.0b1
    Affected: >= 2.0.0b1, < 2.30.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.34.0, < 2.0.0b1
    Affected: >= 2.0.0b1, < 2.30.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107291 (GCVE-0-2026-107291)

    Vulnerability from nvd – Published: 2026-10-08 16:22 – Updated: 2026-10-08 17:25
    VLAI
    Title
    Pydantic AI OpenTelemetry instrumentation: exception events on tool and agent run spans include content when `include_content=False`
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.3.4 until 1.107.6 and 2.44.0, OpenTelemetry instrumentation configured with InstrumentationSettings(include_content=False) can still export sensitive agent content through exception.message and exception.stacktrace events, error status descriptions, and model_request_parameters containing instructions or the prompted_output_template. The exposed data is available to readers of the configured telemetry backend and can include tool feedback, provider error bodies, runtime instructions, and structured-output templates even though message attributes are redacted. This issue does not grant new access to agent data, and deployments that do not use include_content=False are not affected by the setting bypass. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:25 UTC
    CWE
    • CWE-212 - Improper Removal of Sensitive Information Before Storage or Transfer
    • CWE-532 - Insertion of Sensitive Information into Log File
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 0.3.4, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 0.3.4, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107290 (GCVE-0-2026-107290)

    Vulnerability from nvd – Published: 2026-10-08 16:09 – Updated: 2026-10-09 15:15
    VLAI
    Title
    Pydantic AI: Event loop blocked by quadratic title extraction in `web_fetch`
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback process server-controlled responses with quadratic title extraction, whitespace normalization, and ordered-list numbering. An attacker-controlled page of modest size can therefore block the event loop for an extended period, stalling other agent runs and requests, while unsupported codecs or excessive HTML or JSON nesting can abort an individual run. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 20:23 UTC
    CWE
    • CWE-1333 - Inefficient Regular Expression Complexity
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107289 (GCVE-0-2026-107289)

    Vulnerability from nvd – Published: 2026-10-08 15:20 – Updated: 2026-10-08 16:07
    VLAI
    Title
    Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 16:07 UTC
    CWE
    • CWE-918 - Server-Side Request Forgery (SSRF)
    • CWE-1289 - Improper Validation of Unsafe Equivalence in Input
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.56.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.56.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107288 (GCVE-0-2026-107288)

    Vulnerability from nvd – Published: 2026-10-08 15:18 – Updated: 2026-10-08 17:28
    VLAI
    Title
    Pydantic AI: web_fetch_tool blocked_domains bypass via a hostname the resolver normalizes differently
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback compare blocked_domains entries with a URL hostname before both values are normalized to the form used by getaddrinfo. An attacker-influenced model can use an equivalent IDNA spelling, non-ASCII label separator, case variation, or trailing root label that resolves to a blocked host but does not match the configured string, causing the application to fetch that host with its own privileges. allowed_domains fails closed for unmatched spellings, and private-IP and cloud-metadata protections remain effective. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:28 UTC
    CWE
    • CWE-918 - Server-Side Request Forgery (SSRF)
    • CWE-1289 - Improper Validation of Unsafe Equivalence in Input
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107287 (GCVE-0-2026-107287)

    Vulnerability from nvd – Published: 2026-10-08 15:15 – Updated: 2026-10-14 00:58
    VLAI
    Title
    Pydantic AI: Excessive resource use when local web fetching converts nested HTML
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.7 and 2.52.0, the local web_fetch_tool and the WebFetch local fallback can consume excessive CPU and memory during HTML-to-Markdown conversion of attacker-controlled HTML containing deeply nested block elements. Conversion repeatedly reprocesses accumulated text and can greatly expand intermediate output before the returned-content limit is applied, allowing a model-directed fetch to delay other work in the process. Provider-native web fetching is not affected. This issue is fixed in versions 1.107.7 and 2.52.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-14 00:58 UTC
    CWE
    • CWE-400 - Uncontrolled Resource Consumption
    • CWE-407 - Inefficient Algorithmic Complexity
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.7
    Affected: >= 2.0.0b1, < 2.52.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.7
    Affected: >= 2.0.0b1, < 2.52.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107286 (GCVE-0-2026-107286)

    Vulnerability from nvd – Published: 2026-10-08 15:12 – Updated: 2026-10-08 17:27
    VLAI
    Title
    Pydantic AI: Concurrency-limited models can keep their slot when a streamed request ends early
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 2.10.0 until 2.53.0, streamed requests made through ConcurrencyLimitedModel or limit_model_concurrency can retain shared concurrency slots because anyio.CapacityLimiter associates an acquired slot with the borrowing task while streaming cleanup can run in a different task. Early stream termination, cancellation, consumer exceptions, or complete stream_text() consumption with debounce_by=0.1 can therefore leave capacity occupied, eventually preventing later requests that share the long-lived limiter from proceeding and causing a denial of service. Agent-level max_concurrency and non-streaming model requests are not affected. This issue is fixed in version 2.53.0.
    SSVC
    Exploitation: none Automatable: yes Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:26 UTC
    CWE
    • CWE-772 - Missing Release of Resource after Effective Lifetime
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 2.10.0, < 2.53.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 2.10.0, < 2.53.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84382 (GCVE-0-2026-84382)

    Vulnerability from nvd – Published: 2026-09-02 18:03 – Updated: 2026-09-03 14:31
    VLAI
    Title
    HTTPX2: Streaming response decompression does not bound peak memory (decompression amplification)
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.12.0, the HTTPX2 content decoders in src/httpx2/httpx2/_decoders.py fully inflate each gzip, deflate, br, or zstd network chunk before iter_bytes() or aiter_bytes() yields bounded pieces to the application. A 64 KiB compressed chunk can expand to approximately 64 MiB in one intermediate allocation, so an attacker-controlled or compromised server can cause severe memory pressure or out-of-memory process termination even when the application streams the response. This issue is fixed in version 2.12.0.
    SSVC
    Exploitation: none Automatable: yes Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-03 14:09 UTC
    CWE
    • CWE-409 - Improper Handling of Highly Compressed Data (Data Amplification)
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: < 2.12.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84381 (GCVE-0-2026-84381)

    Vulnerability from nvd – Published: 2026-09-02 18:01 – Updated: 2026-09-05 01:03
    VLAI
    Title
    HTTPX2: Secure WebSocket traffic sent without TLS through SOCKS proxies
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.10.0, httpcore2 fails to start TLS in src/httpcore2/httpcore2/_sync/socks_proxy.py and src/httpcore2/httpcore2/_async/socks_proxy.py when the remote origin uses wss through a SOCKS5 proxy because the TLS upgrade condition only recognizes https. HTTPX2 exposes the flaw through Client.websocket() and AsyncClient.websocket() from 2.6.0 through 2.9.1, so the opening handshake, query parameters, Authorization headers, cookies, and subsequent frames can cross the proxy path in plaintext without certificate verification. An attacker controlling or observing that path can read or modify traffic and impersonate the WebSocket server. This issue is fixed in httpcore2 2.10.0 and HTTPX2 2.10.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: total
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-05 01:03 UTC
    CWE
    • CWE-319 - Cleartext Transmission of Sensitive Information
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Show details on NVD website

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    CVE-2026-84380 (GCVE-0-2026-84380)

    Vulnerability from nvd – Published: 2026-09-02 17:58 – Updated: 2026-09-02 18:07
    VLAI
    Title
    HTTPX2: Conflicting Content-Length and Transfer-Encoding headers can be auto-generated
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.11.0, Request._prepare() in src/httpx2/httpx2/_models.py can add a body-derived Content-Length header to a request that already contains a caller-supplied Transfer-Encoding header because its setdefault() processing checks each default header independently rather than treating the two framing headers as mutually exclusive. Fixed-size byte, JSON, form, and known-length multipart bodies can therefore be serialized over HTTP/1.1 with both headers, allowing request smuggling or connection desynchronization when downstream intermediaries disagree about which framing header takes precedence. This issue is fixed in version 2.11.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-02 18:07 UTC
    CWE
    • CWE-444 - Inconsistent Interpretation of HTTP Requests ('HTTP Request/Response Smuggling')
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: < 2.11.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84379 (GCVE-0-2026-84379)

    Vulnerability from nvd – Published: 2026-09-02 17:57 – Updated: 2026-09-02 18:20
    VLAI
    Title
    HTTPX2: Multipart part header injection via unvalidated file Content-Type and custom headers
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.11.0, FileField.render_headers() in src/httpx2/httpx2/_multipart.py directly interpolates attacker-controlled content_type values and custom headers from the files= three-element (filename, content, content_type) tuple and the files= four-element (filename, content, content_type, headers) tuple into multipart/form-data part headers without validating header names or values. CR or LF characters can terminate a part header, inject additional part headers, or end the part header block early, allowing a downstream multipart parser to treat attacker-supplied lines as genuine headers and potentially alter part semantics or bypass header-based checks. This issue is fixed in version 2.11.0.
    SSVC
    Exploitation: poc Automatable: yes Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-02 18:20 UTC
    CWE
    • CWE-93 - Improper Neutralization of CRLF Sequences ('CRLF Injection')
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: < 2.11.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84378 (GCVE-0-2026-84378)

    Vulnerability from nvd – Published: 2026-09-02 17:54 – Updated: 2026-09-02 19:00
    VLAI
    Title
    HTTPX2: Quadratic SSE line buffering can cause CPU denial of service
    Summary
    HTTPX2 is a next generation HTTP client for Python. From 2.5.0 until 2.10.0, the HTTPX2 Server-Sent Events parser in src/httpx2/httpx2/_sse.py repeatedly copies and rescans buffered text in _SSELineDecoder.decode() when an attacker-controlled or compromised SSE endpoint splits one unterminated line across many response chunks. The behavior affects httpx2.Client.sse() and httpx2.AsyncClient.sse(), and the total processing work grows quadratically with the line length, allowing a crafted stream to consume excessive CPU and block a synchronous worker or asynchronous event loop. This issue is fixed in version 2.10.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-02 19:00 UTC
    CWE
    • CWE-407 - Inefficient Algorithmic Complexity
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: >= 2.5.0, < 2.10.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107295 (GCVE-0-2026-107295)

    Vulnerability from cvelistv5 – Published: 2026-10-08 17:02 – Updated: 2026-10-08 17:53
    VLAI
    Title
    `pydantic-ai-slim` web UI `/api/chat` accepts browser-simple cross-origin requests that can trigger agent tool execution
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 until 1.107.4 and 2.28.0, the Agent.to_web() and clai web development chat endpoint has missing request content-type validation. A website visited by a developer can submit a browser-compatible request to a loopback-hosted chat server, causing the served agent to run and execute tools with the privileges and credentials of the local process; client-relayed approval decisions also leave requires_approval=True tools exposed. Binding to localhost does not prevent a browser page from reaching the loopback address. This issue is fixed in versions 1.107.4 and 2.28.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:53 UTC
    CWE
    • CWE-352 - Cross-Site Request Forgery (CSRF)
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.34.0, < 1.107.4
    Affected: >= 2.0.0b1, < 2.28.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.34.0, < 1.107.4
    Affected: >= 2.0.0b1, < 2.28.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107294 (GCVE-0-2026-107294)

    Vulnerability from cvelistv5 – Published: 2026-10-08 16:59 – Updated: 2026-10-09 15:15
    VLAI
    Title
    Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.2 and 2.24.0, web_fetch_tool, the WebFetch local fallback, and remote FileUrl media downloads buffer the complete HTTP response body before enforcing content-size controls. An attacker-influenced URL can stream an arbitrarily large response that exhausts process memory and crashes the worker; affected media types include ImageUrl, DocumentUrl, VideoUrl, and AudioUrl. SSRF protections remain effective, and the impact is limited to availability. This issue is fixed in versions 1.107.2 and 2.24.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 20:23 UTC
    CWE
    • CWE-400 - Uncontrolled Resource Consumption
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.2
    Affected: >= 2.0.0b1, < 2.24.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.2
    Affected: >= 2.0.0b1, < 2.24.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107293 (GCVE-0-2026-107293)

    Vulnerability from cvelistv5 – Published: 2026-10-08 16:57 – Updated: 2026-10-08 17:14
    VLAI
    Title
    Pydantic AI OpenTelemetry instrumentation: retry prompt content is not redacted when `include_content=False`
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.3.4 until 1.107.4 and 2.27.1, OpenTelemetry instrumentation configured with InstrumentationSettings(include_content=False) can export retry prompts outside tool calls in gen_ai.input.messages and pydantic_ai.all_messages. Agents using NativeOutput, PromptedOutput, or output validators on text output can therefore disclose validation feedback, including invalid model values quoted by that feedback, to readers of the telemetry backend. Tool-call retries and deployments that do not use include_content=False are not affected by this specific path. This issue is fixed in versions 1.107.4 and 2.27.1.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:14 UTC
    CWE
    • CWE-212 - Improper Removal of Sensitive Information Before Storage or Transfer
    • CWE-532 - Insertion of Sensitive Information into Log File
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 0.3.4, < 1.107.4
    Affected: >= 2.0.0b1, < 2.27.1
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 0.3.4, < 1.107.4
    Affected: >= 2.0.0b1, < 2.27.1
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107292 (GCVE-0-2026-107292)

    Vulnerability from cvelistv5 – Published: 2026-10-08 16:26 – Updated: 2026-10-14 01:01
    VLAI
    Title
    Pydantic AI Web chat UI (`Agent.to_web()`, `clai web`): the local chat endpoint does not validate the `Host` header
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 until 2.30.0, the Agent.to_web() and clai web development chat server does not validate the Host header, allowing a website visited by a developer to use DNS rebinding to reach a loopback-hosted agent as a same-origin service. The hostile page can read the served UI and submit chat requests that execute agent tools with the local process's privileges and credentials, causing data disclosure or unwanted side effects. Binding to localhost, Origin checks, and CSRF tokens do not prevent the same-origin DNS rebinding path. This issue is fixed in versions 1.107.5 and 2.30.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-14 01:00 UTC
    CWE
    • CWE-346 - Origin Validation Error
    • CWE-350 - Reliance on Reverse DNS Resolution for a Security-Critical Action
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.34.0, < 2.0.0b1
    Affected: >= 2.0.0b1, < 2.30.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.34.0, < 2.0.0b1
    Affected: >= 2.0.0b1, < 2.30.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107291 (GCVE-0-2026-107291)

    Vulnerability from cvelistv5 – Published: 2026-10-08 16:22 – Updated: 2026-10-08 17:25
    VLAI
    Title
    Pydantic AI OpenTelemetry instrumentation: exception events on tool and agent run spans include content when `include_content=False`
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.3.4 until 1.107.6 and 2.44.0, OpenTelemetry instrumentation configured with InstrumentationSettings(include_content=False) can still export sensitive agent content through exception.message and exception.stacktrace events, error status descriptions, and model_request_parameters containing instructions or the prompted_output_template. The exposed data is available to readers of the configured telemetry backend and can include tool feedback, provider error bodies, runtime instructions, and structured-output templates even though message attributes are redacted. This issue does not grant new access to agent data, and deployments that do not use include_content=False are not affected by the setting bypass. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:25 UTC
    CWE
    • CWE-212 - Improper Removal of Sensitive Information Before Storage or Transfer
    • CWE-532 - Insertion of Sensitive Information into Log File
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 0.3.4, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 0.3.4, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107290 (GCVE-0-2026-107290)

    Vulnerability from cvelistv5 – Published: 2026-10-08 16:09 – Updated: 2026-10-09 15:15
    VLAI
    Title
    Pydantic AI: Event loop blocked by quadratic title extraction in `web_fetch`
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback process server-controlled responses with quadratic title extraction, whitespace normalization, and ordered-list numbering. An attacker-controlled page of modest size can therefore block the event loop for an extended period, stalling other agent runs and requests, while unsupported codecs or excessive HTML or JSON nesting can abort an individual run. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 20:23 UTC
    CWE
    • CWE-1333 - Inefficient Regular Expression Complexity
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107289 (GCVE-0-2026-107289)

    Vulnerability from cvelistv5 – Published: 2026-10-08 15:20 – Updated: 2026-10-08 16:07
    VLAI
    Title
    Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 16:07 UTC
    CWE
    • CWE-918 - Server-Side Request Forgery (SSRF)
    • CWE-1289 - Improper Validation of Unsafe Equivalence in Input
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.56.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.56.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107288 (GCVE-0-2026-107288)

    Vulnerability from cvelistv5 – Published: 2026-10-08 15:18 – Updated: 2026-10-08 17:28
    VLAI
    Title
    Pydantic AI: web_fetch_tool blocked_domains bypass via a hostname the resolver normalizes differently
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback compare blocked_domains entries with a URL hostname before both values are normalized to the form used by getaddrinfo. An attacker-influenced model can use an equivalent IDNA spelling, non-ASCII label separator, case variation, or trailing root label that resolves to a blocked host but does not match the configured string, causing the application to fetch that host with its own privileges. allowed_domains fails closed for unmatched spellings, and private-IP and cloud-metadata protections remain effective. This issue is fixed in versions 1.107.6 and 2.44.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:28 UTC
    CWE
    • CWE-918 - Server-Side Request Forgery (SSRF)
    • CWE-1289 - Improper Validation of Unsafe Equivalence in Input
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.6
    Affected: >= 2.0.0b1, < 2.44.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107287 (GCVE-0-2026-107287)

    Vulnerability from cvelistv5 – Published: 2026-10-08 15:15 – Updated: 2026-10-14 00:58
    VLAI
    Title
    Pydantic AI: Excessive resource use when local web fetching converts nested HTML
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.7 and 2.52.0, the local web_fetch_tool and the WebFetch local fallback can consume excessive CPU and memory during HTML-to-Markdown conversion of attacker-controlled HTML containing deeply nested block elements. Conversion repeatedly reprocesses accumulated text and can greatly expand intermediate output before the returned-content limit is applied, allowing a model-directed fetch to delay other work in the process. Provider-native web fetching is not affected. This issue is fixed in versions 1.107.7 and 2.52.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-14 00:58 UTC
    CWE
    • CWE-400 - Uncontrolled Resource Consumption
    • CWE-407 - Inefficient Algorithmic Complexity
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.77.0, < 1.107.7
    Affected: >= 2.0.0b1, < 2.52.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 1.77.0, < 1.107.7
    Affected: >= 2.0.0b1, < 2.52.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-107286 (GCVE-0-2026-107286)

    Vulnerability from cvelistv5 – Published: 2026-10-08 15:12 – Updated: 2026-10-08 17:27
    VLAI
    Title
    Pydantic AI: Concurrency-limited models can keep their slot when a streamed request ends early
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 2.10.0 until 2.53.0, streamed requests made through ConcurrencyLimitedModel or limit_model_concurrency can retain shared concurrency slots because anyio.CapacityLimiter associates an acquired slot with the borrowing task while streaming cleanup can run in a different task. Early stream termination, cancellation, consumer exceptions, or complete stream_text() consumption with debounce_by=0.1 can therefore leave capacity occupied, eventually preventing later requests that share the long-lived limiter from proceeding and causing a denial of service. Agent-level max_concurrency and non-streaming model requests are not affected. This issue is fixed in version 2.53.0.
    SSVC
    Exploitation: none Automatable: yes Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-10-08 17:26 UTC
    CWE
    • CWE-772 - Missing Release of Resource after Effective Lifetime
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 2.10.0, < 2.53.0
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 2.10.0, < 2.53.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84382 (GCVE-0-2026-84382)

    Vulnerability from cvelistv5 – Published: 2026-09-02 18:03 – Updated: 2026-09-03 14:31
    VLAI
    Title
    HTTPX2: Streaming response decompression does not bound peak memory (decompression amplification)
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.12.0, the HTTPX2 content decoders in src/httpx2/httpx2/_decoders.py fully inflate each gzip, deflate, br, or zstd network chunk before iter_bytes() or aiter_bytes() yields bounded pieces to the application. A 64 KiB compressed chunk can expand to approximately 64 MiB in one intermediate allocation, so an attacker-controlled or compromised server can cause severe memory pressure or out-of-memory process termination even when the application streams the response. This issue is fixed in version 2.12.0.
    SSVC
    Exploitation: none Automatable: yes Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-03 14:09 UTC
    CWE
    • CWE-409 - Improper Handling of Highly Compressed Data (Data Amplification)
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: < 2.12.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84381 (GCVE-0-2026-84381)

    Vulnerability from cvelistv5 – Published: 2026-09-02 18:01 – Updated: 2026-09-05 01:03
    VLAI
    Title
    HTTPX2: Secure WebSocket traffic sent without TLS through SOCKS proxies
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.10.0, httpcore2 fails to start TLS in src/httpcore2/httpcore2/_sync/socks_proxy.py and src/httpcore2/httpcore2/_async/socks_proxy.py when the remote origin uses wss through a SOCKS5 proxy because the TLS upgrade condition only recognizes https. HTTPX2 exposes the flaw through Client.websocket() and AsyncClient.websocket() from 2.6.0 through 2.9.1, so the opening handshake, query parameters, Authorization headers, cookies, and subsequent frames can cross the proxy path in plaintext without certificate verification. An attacker controlling or observing that path can read or modify traffic and impersonate the WebSocket server. This issue is fixed in httpcore2 2.10.0 and HTTPX2 2.10.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: total
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-05 01:03 UTC
    CWE
    • CWE-319 - Cleartext Transmission of Sensitive Information
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Show details on NVD website

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    CVE-2026-84380 (GCVE-0-2026-84380)

    Vulnerability from cvelistv5 – Published: 2026-09-02 17:58 – Updated: 2026-09-02 18:07
    VLAI
    Title
    HTTPX2: Conflicting Content-Length and Transfer-Encoding headers can be auto-generated
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.11.0, Request._prepare() in src/httpx2/httpx2/_models.py can add a body-derived Content-Length header to a request that already contains a caller-supplied Transfer-Encoding header because its setdefault() processing checks each default header independently rather than treating the two framing headers as mutually exclusive. Fixed-size byte, JSON, form, and known-length multipart bodies can therefore be serialized over HTTP/1.1 with both headers, allowing request smuggling or connection desynchronization when downstream intermediaries disagree about which framing header takes precedence. This issue is fixed in version 2.11.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-02 18:07 UTC
    CWE
    • CWE-444 - Inconsistent Interpretation of HTTP Requests ('HTTP Request/Response Smuggling')
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: < 2.11.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84379 (GCVE-0-2026-84379)

    Vulnerability from cvelistv5 – Published: 2026-09-02 17:57 – Updated: 2026-09-02 18:20
    VLAI
    Title
    HTTPX2: Multipart part header injection via unvalidated file Content-Type and custom headers
    Summary
    HTTPX2 is a next generation HTTP client for Python. Prior to 2.11.0, FileField.render_headers() in src/httpx2/httpx2/_multipart.py directly interpolates attacker-controlled content_type values and custom headers from the files= three-element (filename, content, content_type) tuple and the files= four-element (filename, content, content_type, headers) tuple into multipart/form-data part headers without validating header names or values. CR or LF characters can terminate a part header, inject additional part headers, or end the part header block early, allowing a downstream multipart parser to treat attacker-supplied lines as genuine headers and potentially alter part semantics or bypass header-based checks. This issue is fixed in version 2.11.0.
    SSVC
    Exploitation: poc Automatable: yes Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-02 18:20 UTC
    CWE
    • CWE-93 - Improper Neutralization of CRLF Sequences ('CRLF Injection')
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: < 2.11.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-84378 (GCVE-0-2026-84378)

    Vulnerability from cvelistv5 – Published: 2026-09-02 17:54 – Updated: 2026-09-02 19:00
    VLAI
    Title
    HTTPX2: Quadratic SSE line buffering can cause CPU denial of service
    Summary
    HTTPX2 is a next generation HTTP client for Python. From 2.5.0 until 2.10.0, the HTTPX2 Server-Sent Events parser in src/httpx2/httpx2/_sse.py repeatedly copies and rescans buffered text in _SSELineDecoder.decode() when an attacker-controlled or compromised SSE endpoint splits one unterminated line across many response chunks. The behavior affects httpx2.Client.sse() and httpx2.AsyncClient.sse(), and the total processing work grows quadratically with the line length, allowing a crafted stream to consume excessive CPU and block a synchronous worker or asynchronous event loop. This issue is fixed in version 2.10.0.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-02 19:00 UTC
    CWE
    • CWE-407 - Inefficient Algorithmic Complexity
    Assigner
    GitHub_M CNA under the mitre root
    CNA scorecard C 72/100 over 7698 records in the last 180 days details
    Impacted products
    Vendor Product Version
    pydantic httpx2 Affected: >= 2.5.0, < 2.10.0
    Create a notification for this product.
    Show details on NVD website

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