Vulnerability-Lookup

GHSA-CPPX-6F25-3QXC

Vulnerability from github – Published: 2025-03-20 12:32 – Updated: 2025-03-20 12:32

Details

A Server-Side Request Forgery (SSRF) vulnerability exists in the latest version of vanna-ai/vanna when using DuckDB as the database. An attacker can exploit this vulnerability by submitting crafted SQL queries that leverage DuckDB's default features, such as read_csv, read_csv_auto, read_text, and read_blob, to make unauthorized requests to internal or external resources. This can lead to unauthorized access to sensitive data, internal systems, and potentially further attacks.

Severity

8.3 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L

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{
  "affected": [],
  "aliases": [
    "CVE-2024-8099"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-20T10:15:41Z",
    "severity": "HIGH"
  },
  "details": "A Server-Side Request Forgery (SSRF) vulnerability exists in the latest version of vanna-ai/vanna when using DuckDB as the database. An attacker can exploit this vulnerability by submitting crafted SQL queries that leverage DuckDB\u0027s default features, such as `read_csv`, `read_csv_auto`, `read_text`, and `read_blob`, to make unauthorized requests to internal or external resources. This can lead to unauthorized access to sensitive data, internal systems, and potentially further attacks.",
  "id": "GHSA-cppx-6f25-3qxc",
  "modified": "2025-03-20T12:32:47Z",
  "published": "2025-03-20T12:32:47Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-8099"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/19b96694-ed52-4ee4-8d2c-6cc7bd09c0ad"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-8099 (GCVE-0-2024-8099)

Vulnerability from cvelistv5 – Published: 2025-03-20 10:09 – Updated: 2025-03-20 18:34

Title

Server-Side Request Forgery (SSRF) in vanna-ai/vanna

Summary

A Server-Side Request Forgery (SSRF) vulnerability exists in the latest version of vanna-ai/vanna when using DuckDB as the database. An attacker can exploit this vulnerability by submitting crafted SQL queries that leverage DuckDB's default features, such as `read_csv`, `read_csv_auto`, `read_text`, and `read_blob`, to make unauthorized requests to internal or external resources. This can lead to unauthorized access to sensitive data, internal systems, and potentially further attacks.

Severity

8.3 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-20 17:53 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

@huntr_ai mitre root

References

1 reference

URL	Tags
https://huntr.com/bounties/19b96694-ed52-4ee4-8d2…

Impacted products

1 product

Vendor	Product	Version
vanna-ai	vanna-ai/vanna	Affected: unspecified , ≤ latest (custom)

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        "metrics": [
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                "id": "CVE-2024-8099",
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                  },
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                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-20T17:53:08.234016Z",
                "version": "2.0.3"
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            "attackComplexity": "LOW",
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            "baseSeverity": "HIGH",
            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
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            "scope": "CHANGED",
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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.