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Python CVE-2026-25580

HIGH
Server-Side Request Forgery (SSRF) (CWE-918)
2026-02-06 security-advisories@github.com GHSA-2jrp-274c-jhv3
8.6
CVSS 3.1 · GitHub Advisory
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Severity by source

GitHub Advisory PRIMARY
8.6 HIGH
AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Red Hat
8.6 HIGH
qualitative

Primary rating from GitHub Advisory.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
None
Availability
None

Lifecycle Timeline

4
Analysis Generated
Mar 12, 2026 - 21:54 vuln.today
PoC Detected
Feb 20, 2026 - 21:01 vuln.today
Public exploit code
Patch released
Feb 20, 2026 - 21:01 nvd
Patch available
CVE Published
Feb 06, 2026 - 21:16 nvd
HIGH 8.6

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 1 pypi packages depend on pydantic-ai-slim (1 direct, 0 indirect)

Ecosystem-wide dependent count for version 0.0.26.

DescriptionGitHub Advisory

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.0.26 to before 1.56.0, aServer-Side Request Forgery (SSRF) vulnerability exists in Pydantic AI's URL download functionality. When applications accept message history from untrusted sources, attackers can include malicious URLs that cause the server to make HTTP requests to internal network resources, potentially accessing internal services or cloud credentials. This vulnerability only affects applications that accept message history from external users. This vulnerability is fixed in 1.56.0.

AnalysisAI

Pydantic AI versions 0.0.26 through 1.55.x contain a server-side request forgery vulnerability in URL download functionality that allows remote attackers to make arbitrary HTTP requests to internal network resources when applications process untrusted message history. Public exploit code exists for this vulnerability, which could enable attackers to access internal services or cloud credentials. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Send malicious URL in message history
Exploit
Server processes URL download function
Execution
HTTP request to internal resource
Impact
Exfiltrate internal service data or credentials

Vulnerability AssessmentAI

Exploitation Application must accept message history from untrusted external users and process URL downloads via Pydantic AI versions 0.0.26 to 1.55.x without URL validation. Additional conditions and limiting factors are described in the full assessment.
Risk Assessment CVSS 8.6 (HIGH). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario A remote attacker could exploit this vulnerability to compromise the affected system.
Remediation A vendor patch is available — apply it immediately. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: Identify all systems running Pydantic AI versions 0.0.26 to 1.55.x and assess whether they process untrusted URLs. …

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Vendor StatusVendor

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CVE-2026-25580 vulnerability details – vuln.today

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