CVE-2026-64849 (GCVE-0-2026-64849)

Vulnerability from cvelistv5 – Published: 2026-08-17 21:16 – Updated: 2026-10-02 18:22
VLAI CISA Shadowserver Previdian
Title
MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
Summary
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.
Severity
9.3 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
SSVC
Exploitation: active Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 03:55 UTC
CWE
  • CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
GitHub_M CNA under the mitre root
CNA scorecard C 72/100 over 7886 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
mlflow mlflow Affected: >= 3.3.0, < 3.15.0
guessed Create a notification for this product.
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9fc3fe97-7585-44d9-af56-6bae58615f6f

Vulnerability ID: CVE-2026-64849

Status: Confirmed

Status Updated: 2026-08-19 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2026-08-19
Asserted: 2026-08-19
Scope
Notes: MLflow Server-Side Request Forgery Vulnerability | Affected: MLflow / MLflow | Description: MLflow contains a server-side request forgery vulnerability that can allow attackers to reach internal or cloud metadata services and receive response_status and response_body. | Required action: Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines. | Due date: 2026-09-02 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://github.com/mlflow/mlflow/pull/24258 ; https://github.com/mlflow/mlflow/issues/24179 ; BOD 26-04: https://www.cisa.gov/news-events/directives/bod-26-04-prioritizing-security-updates-based-risk ; Forensics Triage Requirements: https://www.cisa.gov/news-events/directives/bod-26-04-implementation-guidance-prioritizing-security-updates-based-risk ; https://nvd.nist.gov/vuln/detail/CVE-2026-64849
Evidence

Type: Vendor Report

Signal: Successful Exploitation

Confidence: 80%

Source: cisa-kev

Details
Cwes CWE-918
Feed CISA Known Exploited Vulnerabilities Catalog
Product MLflow
Due Date 2026-09-02
Date Added 2026-08-19
Vendorproject MLflow
Vulnerabilityname MLflow Server-Side Request Forgery Vulnerability
Knownransomwarecampaignuse Unknown
References
Created: 2026-08-19 18:00 UTC | Updated: 2026-08-19 18:00 UTC
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 4fac5a48-59db-4c81-9c27-c3690bc0df0b

Vulnerability ID: CVE-2026-64849

Status: Confirmed

Status Updated: 2026-11-01 00:00 UTC

Exploited: Yes

Characteristics
Severity: 93.0
Timestamps
First Seen: 2026-09-18
Asserted: 2026-09-18
Last Seen: 2026-11-01
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: MLflow / MLflow | Class: ai-system | Severity: Critical (CVSS 9.3) | IoT: no | In CISA KEV: yes | Honeypot connections on 2026-11-01: 2
Evidence

Type: Honeypot

Signal: In The Wild Attempts

Confidence: 70%

Source: shadowserver

Details
1D 1
Iot no
Feed Shadowserver Foundation honeypot/exploited-vulnerabilities
Type http-scan
Class ai-system
7D Avg 0
Vendor MLflow
30D Avg 0
90D Avg 0
Product MLflow
Cisa Kev yes
Connections 2
Observation Date 2026-11-01
Vulnerability Class CVSS
Vulnerability Score 9.3
Vulnerability Severity Critical
References
Created: 2026-10-21 09:03 UTC | Updated: 2026-11-03 02:27 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: f87cac0a-5a98-4700-aa40-a3228e809c87

Vulnerability ID: CVE-2026-64849

Status: Confirmed

Status Updated: 2026-08-18 13:31 UTC

Exploited: Yes

Timestamps
First Seen: 2026-08-18
Asserted: 2026-08-18
Scope
Notes: MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding) | Affected: mlflow / mlflow | CVSS: 9.3 (CRITICAL) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
Vendor mlflow
Product mlflow
Added Date 2026-08-18T13:31:00.000Z
Cvss Score 9.3
Epss Score None
Cvss Severity CRITICAL
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-08-18 14:00 UTC | Updated: 2026-08-18 14:00 UTC
Show details on NVD website
To clipboard 

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              "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j"
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            {
              "name": "https://github.com/mlflow/mlflow/issues/24179",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/mlflow/mlflow/issues/24179"
            },
            {
              "name": "https://github.com/mlflow/mlflow/pull/24258",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/mlflow/mlflow/pull/24258"
            },
            {
              "name": "https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939"
            },
            {
              "name": "https://github.com/mlflow/mlflow/releases/tag/v3.15.0",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/mlflow/mlflow/releases/tag/v3.15.0"
            }
          ],
          "source": {
            "advisory": "GHSA-7gwp-5pfp-969j",
            "discovery": "UNKNOWN"
          },
          "title": "MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2026-64849",
        "datePublished": "2026-08-17T21:16:10.612Z",
        "dateReserved": "2026-07-20T18:31:39.290Z",
        "dateUpdated": "2026-10-02T18:22:19.974Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.