CVE-2026-58578 lobehub CVE debrief

Who should care

Users of LobeChat before version 2.2.10-canary.15 should be aware of this vulnerability and take steps to mitigate it. This includes updating LobeChat to version 2.2.10-canary.15 or later, restricting access to the affected function, implementing input validation and sanitization, monitoring for suspicious activity, and considering implementing a web application firewall (WAF).

Technical summary

The vulnerability is caused by a dynamically constructed regular expression in the findSkillMd function that is executed synchronously against archive entries. Attackers can craft a malicious basePath value containing unescaped regex metacharacters, such as catastrophic-backtracking patterns, which can deny service to all concurrent users for tens of seconds per request. The findSkillMd function is used during skill import, and the vulnerability allows authenticated attackers to block the Node.js event loop.

Defensive priority

High

Recommended defensive actions

• Update LobeChat to version 2.2.10-canary.15 or later
• Restrict access to the affected function
• Implement input validation and sanitization
• Monitor for suspicious activity
• Consider implementing a web application firewall (WAF)
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record was published on 2026-07-02T20:17:06.870Z and was last modified on 2026-07-07T18:16:39.903Z. The NVD entry is currently Deferred. There is limited information available about the vulnerability, and defenders should verify the affected scope and severity with the vendor. The vulnerability allows authenticated attackers to block the Node.js event loop by supplying a catastrophic-backtracking pattern in a GitHub repository URL path during skill import. The findSkillMd function constructs a regular expression dynamically and executes it synchronously against archive entries, which can cause a denial of service to all concurrent users for tens of seconds per request.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.