Google langfun up to 0.1.1 lf.query eval injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.0$0-$5k0.00

Summaryinfo

A vulnerability was found in Google langfun up to 0.1.1. It has been rated as critical. This affects an unknown part of the component lf.query. This manipulation causes eval injection. This vulnerability is registered as CVE-2026-75062. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability has been found in Google langfun up to 0.1.1 and classified as critical. Affected by this vulnerability is an unknown function of the component lf.query. The manipulation with an unknown input leads to a eval injection vulnerability. The CWE definition for the vulnerability is CWE-95. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before using the input in a dynamic evaluation call (e.g. "eval"). As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

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.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-75062 since 08/17/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/26/2026).

Upgrading to version 0.1.2 eliminates this vulnerability.

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.0

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Eval injection
CWE: CWE-95 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: langfun 0.1.2

Timelineinfo

08/17/2026 CVE reserved
08/26/2026 +9 days Advisory disclosed
08/26/2026 +0 days VulDB entry created
08/26/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: google.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-75062 (🔒)
GCVE (CVE): GCVE-0-2026-75062
GCVE (VulDB): GCVE-100-395815

Entryinfo

Created: 08/26/2026 17:14
Changes: 08/26/2026 17:14 (67)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

Discussion

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