Eval Injection in google/langfun via default lf.query protocol
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Attack requirements
- Present
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 4.0 · CNA. Fix status from CNA. Impact type from CWE-95.
Summary
Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection') in the default lf.query Python protocol in Google langfun versions prior to 0.1.2 allows remote unauthenticated attackers to execute arbitrary Python code in the context of the host application via crafted prompt inputs that cause the model to generate executable Python expressions evaluated without a sandbox.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- Poc
- Automatable
- No
- Technical impact
- Total
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
Remediation
- Fix · CNA langfun (Google) Fixed in 0.1.2
Timeline
- 2026-10-02 Threatist record created from CVE-2026-75062
- 2026-10-03 Alias added: GHSA-8x83-862f-c85r
More Google vulnerabilities
- TI-2025-09686 Type confusion in Google Chrome KEVCVSS 3.1CRITICAL 9.8
- TI-2024-07390 Type confusion in Google Chrome KEVCVSS 3.1CRITICAL 9.6
- TI-2024-04898 Type confusion in Google Chrome KEVCVSS 3.1CRITICAL 9.6
- TI-2024-04600 Type confusion in Google Chrome KEVCVSS 3.1CRITICAL 9.6
- TI-2024-04346 Use after free in Google Chrome KEVCVSS 3.1CRITICAL 9.6
- TI-2023-05824 Integer overflow in Google Chrome KEVCVSS 3.1CRITICAL 9.6
Sources
- CVE-2026-75062 · CVE Program
- CVE-2026-75062 · NVD
- FIRST EPSS
- GHSA-8x83-862f-c85r · GitHub Advisory Database · CC BY 4.0
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