Vulnerability-Lookup

CVE-2026-75062 (GCVE-0-2026-75062)

Vulnerability from cvelistv5 – Published: 2026-08-26 14:50 – Updated: 2026-08-26 15:38

Title

Eval Injection in google/langfun via default lf.query protocol

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.

Severity

9.2 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-26 15:37 UTC

CWE

CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
CWE-1188 - Insecure Default Initialization of Resource

Assigner

Google Google root

References

2 references

URL	Tags
https://github.com/google/langfun	product
https://github.com/google/langfun/issues/725	issue-tracking

Impacted products

1 product

Vendor	Product	Version	CPE status
Google	langfun	Affected: 0.0.1 , < 0.1.2 (semver)	guessed

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-75062

Vulnerability from fkie_nvd - Published: 2026-08-26 15:16 - Updated: 2026-08-26 16:16

Severity

9.2 (Critical) - CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Summary

References

	URL	Tags
	cve-coordination@google.com	https://github.com/google/langfun
	cve-coordination@google.com	https://github.com/google/langfun/issues/725
	134c704f-9b21-4f2e-91b3-4a467353bcc0	https://github.com/google/langfun/issues/725

Impacted products

	Vendor	Product	Version

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "packageName": "langfun",
          "product": "langfun",
          "repo": "https://github.com/google/langfun",
          "vendor": "Google",
          "versions": [
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              "lessThan": "0.1.2",
              "status": "affected",
              "version": "0.0.1",
              "versionType": "semver"
            }
          ]
        }
      ],
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    }
  ],
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    }
  ],
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          "confidentialityRequirement": "NOT_DEFINED",
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          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
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GHSA-8X83-862F-C85R

Vulnerability from github – Published: 2026-08-26 18:31 – Updated: 2026-08-26 18:31

Details

Severity

9.2 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Show details on source website

JSON

To clipboard

{
  "affected": [],
  "aliases": [
    "CVE-2026-75062"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-95"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-26T15:16:55Z",
    "severity": "CRITICAL"
  },
  "details": "Improper Neutralization of Directives in Dynamically Evaluated Code (\u0027Eval Injection\u0027) 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.",
  "id": "GHSA-8x83-862f-c85r",
  "modified": "2026-08-26T18:31:55Z",
  "published": "2026-08-26T18:31:55Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-75062"
    },
    {
      "type": "WEB",
      "url": "https://github.com/google/langfun/issues/725"
    },
    {
      "type": "WEB",
      "url": "https://github.com/google/langfun"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

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.

Action not permitted

CVE-2026-75062 (GCVE-0-2026-75062)

FKIE_CVE-2026-75062

GHSA-8X83-862F-C85R

Tags

Sightings

Nomenclature