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CVE-2026-45792: CWE-345: Insufficient Verification of Data Authenticity in rtk-ai rtk

0
Medium
VulnerabilityCVE-2026-45792cvecve-2026-45792cwe-345cwe-426
Published: 06/23/2026 (06/23/2026, 19:02:08 UTC)
Source: CVE Database V5
Vendor/Project: rtk-ai
Product: rtk

Description

Prior to version 0.32.0, the rtk tool (Rust Token Killer) improperly trusts project-local configuration files by automatically loading .rtk/filters.toml from the working directory without notifying the user. This allows an attacker to place a malicious filter file that modifies shell command outputs via regex-based filters, potentially suppressing or altering output such as file contents, diffs, or security scan results without detection. This vulnerability is fixed in version 0.32.0.

CVSS v4.0

Score 6.9medium

Attack Vector
Local
Attack Complexity
Low
Attack Requirements
Present
Privileges Required
None
User Interaction
Active
Vuln. Confidentiality
None
Vuln. Integrity
High
Vuln. Availability
None
Subsq. Confidentiality
High
Subsq. Integrity
High
Subsq. Availability
None
CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:A/VC:N/VI:H/VA:N/SC:H/SI:H/SA:N

Affected software

crates.iomore threats →ai
github/rtk-ai/rtk
pkg:cargo/github/rtk-ai/rtk
Affected versions
<0.32.0

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 06/24/2026, 14:13:25 UTC

Technical Analysis

CVE-2026-45792 describes an insufficient verification of data authenticity in the rtk tool before version 0.32.0. rtk automatically loads a project-local filter configuration file (.rtk/filters.toml) with the highest priority and without user notification. An attacker with the ability to place files in the working directory can supply a malicious filter that applies regex-based modifications to shell command outputs before they are presented to the language model context. This can selectively suppress or alter command output, potentially hiding malicious code during AI-assisted development or review. The vulnerability is addressed by fixing this behavior in rtk version 0.32.0.

Potential Impact

An attacker can manipulate the command output seen by the language model by injecting malicious filter files in the project directory. This can lead to concealment of malicious code or other important information by selectively suppressing or altering command outputs such as file contents, diffs, and security scan results. This undermines the integrity of AI-assisted development or review processes. The CVSS 4.0 score is 6.9 (medium severity), reflecting the local attack vector with user interaction required and high impact on confidentiality and integrity.

Mitigation Recommendations

Upgrade rtk to version 0.32.0 or later, where this vulnerability is fixed. Prior versions improperly trust local filter configuration files without user notification, enabling this attack. No other official remediation or temporary fixes are documented. Users should avoid running vulnerable versions in untrusted directories until patched.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-05-13T08:19:32.602Z
Cvss Version
4.0
State
PUBLISHED
Remediation Level
null

Threat ID: 6a3be5f1eed863c81ef0adc1

Added to database: 06/24/2026, 14:13:05 UTC

Last enriched: 06/24/2026, 14:13:25 UTC

Last updated: 06/24/2026, 14:29:08 UTC

Views: 3

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