Security Digest · Vulnerability record
CVE-2026-25130: CAI find_file Agent Tool has Command Injection Vulnerability Through Argument Injection
Cybersecurity AI (CAI) is a framework for AI Security.
CVSS 9.7 Critical EPSS 0.9% · p60
Should you act?
Critical and remotely reachable
No known exploitation yet, but it is network-reachable without credentials. This signal is computed from CISA KEV, EPSS and CVSS data; it is not an editorial verdict.
- Not in CISA KEV, but CISA’s SSVC assessment records a public proof-of-concept, so attack code exists.
- EPSS 0.9%, percentile 60: FIRST’s model estimates a 0.9% chance of exploitation activity in the next 30 days, higher than 60% of all scored CVEs (moderate). EPSS is a probability, not a verdict.
- Needs a user to click or open something. Phishing makes that realistic, but it is not wormable.
- Only applies if your dependency tree includes
cai-framework(PyPI) <= 0.5.10, no fixed version listed. Check your lockfile, including transitive dependencies.
What it is
Cybersecurity AI (CAI) is a framework for AI Security. In versions up to and including 0.5.10, the CAI (Cybersecurity AI) framework contains multiple argument injection vulnerabilities in its function tools. User-controlled input is passed directly to shell commands via subprocess.Popen() with shell=True, allowing attackers to execute arbitrary commands on the host system. The findfile() tool executes without requiring user approval because find is considered a "safe" pre-approved command. This means an attacker can achieve Remote Code Execution (RCE) by injecting malicious arguments (like -exec) into the args parameter, completely bypassing any human-in-the-loop safety mechanisms. Commit e22a1220f764e2d7cf9da6d6144926f53ca01cde contains a fix.
From the GitHub advisory
Summary
The CAI (Cybersecurity AI) framework contains multiple argument injection vulnerabilities in its function tools. User-controlled input is passed directly to shell commands via subprocess.Popen() with shell=True, allowing attackers to execute arbitrary commands on the host system.
Vulnerable Component
Function: findfile() in src/cai/tools/reconnaissance/filesystem.py code
Attack Vector
Weakness type: CWE-78.
Product: cai-framework (PyPI) · Assigned by: GitHub_M · Published: 2026-01-30
Affected and fixed versions
| Ecosystem | Package | Vulnerable | First fixed |
|---|---|---|---|
| PyPI | cai-framework | <= 0.5.10 | none listed |
| Vendor | Product | Affected versions (per CVE record) |
|---|---|---|
| aliasrobotics | cai | <= 0.5.10 |
Severity scores
| Scored by | CVSS | Score | Vector |
|---|---|---|---|
| GitHub_M | 3.1 | 9.7 Critical | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H |
| GitHub | 3.1 | 9.6 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H |
- Attack vector: network (remotely reachable)
- Attack complexity: low
- Privileges required: none (no login)
- User interaction: required (a user must click/open something)
- Scope: changed (can affect other components)
CVSS measures how bad a flaw is if exploited, not how likely exploitation is. Read it next to the exploitation data below.
Exploitation and urgency
- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- CISA SSVC assessment: exploitation poc, automatable yes, technical impact total.
- FIRST EPSS (model of 2026-10-21): 0.92% probability of exploitation activity in the next 30 days; percentile 60.
Timeline
- — CVE record published by GitHub_M
- — GitHub-reviewed advisory GHSA-jfpc-wj3m-qw2m published (critical)
- — CVE record last updated
Sources and references
Original sources first. Version and fix details should always be confirmed against the vendor or project advisory.
Vulnerability records
- GitHub Advisory GHSA-jfpc-wj3m-qw2m github.com
- CVE.org record CVE-2026-25130 cve.org
- NVD entry CVE-2026-25130 nvd.nist.gov
Other references from the CVE record and advisory
- github.com github.com
- github.com github.com
- github.com github.com