Pydantic AiApplication · Pydantic

CVE-2026-65975

MEDIUM · 6.5 CVSS v3.1 Published 2026-07-29
Fix available
A fix is available. Upgrade to 1.107.1 / 2.5.0 or later.
See remediation →
74/100
Remediation priority · Elevated
Remotely reachable No privileges Zero-click 3 weeks old

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. In versions 1.88.0 up to but not including 1.107.1 and 2.0.0b1 up to but not including 2.5.0, the UI adapters (AG-UI via Agent.to_ag_ui()/AGUIAdapter, and Vercel AI via VercelAIAdapter) use sanitize_messages to strip unresolved ("dangling") client-submitted tool calls from untrusted message history before it reaches the agent, a defense-in-depth default that prevents the agent from executing tool calls the model never emitted. However, the strip anchored to a message index computed before sanitization ran, so when a trailing client message sanitized to empty and was dropped (for example a client system message under the default manage_system_prompt='server'), a preceding assistant response carrying an unresolved tool call became the new tail and was dispatched without inspection. As a result, a remote client could cause a registered, non-approval server tool to run with client-supplied arguments rather than arguments the model produced. The impact is bounded by what the affected tools do and is most significant for applications that gate tool execution in a model-request hook (before_model_request / after_model_request), since a forged call skips the model turn and bypasses that guardrail; approval-gated tools (requires_approval=True) are not auto-executed by this path. This issue has been fixed in versions 1.107.1 and 2.5.0.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis
How this class of weakness works · CWE-863

An authorization check exists but is flawed, so it passes when it should fail. Attackers probe roles and object references to find the gap. Remediation means centralising and correctly implementing the access-control logic, then testing it against every role.

General guidance for the incorrect authorization class — the official description and references above are authoritative for this specific CVE. Want a bespoke review and a reviewed fix? Ask our team →

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
Pydantic AiApplication
Affected:>= 1.88.0, < 1.107.1>= 2.0.0, < 2.5.0

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
None

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Upgrade available Upgrade to 1.107.1 / 2.5.0 or later
Fixed in 1.107.12.5.0
Recommended fix High confidence

Upgrade to pydantic-ai version 1.107.1 (for v1.x) or 2.5.0 (for v2.x)

  1. Check current Pydantic AI version by running `pip show pydantic-ai` or reviewing requirements.txt
  2. For Python projects using pip, upgrade by running: `pip install 'pydantic-ai>=1.107.1'` (for v1.x users) or `pip install 'pydantic-ai>=2.5.0'` (for v2.x users)
  3. If using poetry: `poetry add 'pydantic-ai@^1.107.1'` or `poetry add 'pydantic-ai@^2.5.0'`
  4. If using uv: `uv add pydantic-ai@^1.107.1` or `uv add pydantic-ai@^2.5.0`
  5. Verify the upgrade succeeded by checking `pip show pydantic-ai` shows version 1.107.1+ or 2.5.0+
  6. Re-run any existing tests to ensure no regressions
Caveat Review pydantic-ai release notes between your current version and 1.107.1/2.5.0 for any breaking changes; the fix version appears to be a patch release but minor version changes may include API adjustments

Generated from the published advisory — verify against the referenced sources before acting.

We can perform the upgrade in your staging environment and verify nothing breaks — typical engagement from $1,600. Get the upgrade done

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-65975 in production — separate from our analysis above.

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