Cyber Resilience

CVE-2023-38690

Medium

Published: 04 August 2023

Published
04 August 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:L/A:N
EPSS Score 0.0018 39.3th percentile
Risk Priority 12 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-38690 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Matrix Matrix Irc Bridge. Its CVSS base score is 5.8 (Medium).

Operationally, ranked at the 39.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

matrix-appservice-irc is a Node.js IRC bridge for Matrix. Prior to version 1.0.1, it is possible to craft a command with newlines which would not be properly parsed. This would mean you could pass a string of commands as a channel…

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name, which would then be run by the IRC bridge bot. Versions 1.0.1 and above are patched. There are no robust workarounds to the bug. One may disable dynamic channels in the config to disable the most common execution method but others may exist.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

matrix
matrix irc bridge
≤ 1.0.1

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References