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CVE-2026-53975 – Unauthenticated Remote Code Execution – OpenChamber through 1.11.7

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Summary

CVE-2026-53975 is an OS command injection (CWE-78) vulnerability in OpenChamber, an AI coding assistant, that allows unauthenticated remote attackers to execute arbitrary shell commands on the server. It affects OpenChamber versions up to and including 1.11.7 and is rated Critical (CVSS 9.3).

Technical details

  • Root cause: The /api/fs/exec endpoint passes commands verbatim to Node.js spawn() without any allowlist, blocklist, or argument validation, resulting in OS command injection.
  • Trigger conditions: The authentication middleware becomes ineffective when UI_PASSWORD is not configured — the default Docker deployment setting — allowing the endpoint to be reached without credentials.
  • Attack vector: Network. An unauthenticated remote attacker sends a crafted POST request to /api/fs/exec.
  • Impact: Arbitrary shell command execution as the application user, with full command output (stdout, stderr, and exit code) returned in the server response, leading to complete system compromise.

Affected software

  • OpenChamber versions 0 through 1.11.7 (inclusive).

Severity

  • CVSS v4.0 base score: 9.3 (Critical)
  • Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Mitigation and recommended actions

  • Immediate: Upgrade to a build that includes the fix (patch commit f1b9506132faf6c564a2694c7f33b94421a49b4a and later).
  • If no patch can be applied: Configure UI_PASSWORD so the authentication middleware is enforced, restrict network access to the OpenChamber instance, and place it behind an authenticating reverse proxy or VPN so the /api/fs/exec endpoint is not reachable from untrusted networks.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Page title: OpenChamber - AI Coding Assistant
  • Raw response body: openchamber.pwaName, openchamber.pwaOrientation, openchamber.mobileKeyboardMode, openchamber.pwaRecentSessions, __OPENCHAMBER_GET_PWA_, __OPENCHAMBER_SET_PWA_, __OPENCHAMBER_UPDATE_PWA_

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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