# CVE-2026-59095: LobeHub LobeChat SSRF in skill import and topic cover endpoints

Source: https://junglewise.ai/threats/cve-2026-59095-lobehub-lobechat-ssrf-in-skill-import-and-topic-cover-endpoints  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-02. Updated: 2026-07-02  
License: CC BY 4.0 with a link back

CVE-2026-59095 · Severity: high · CVSS 7.7 · Published 2026-07-02

LobeChat, an open-source AI chat framework, is vulnerable to a security flaw where authenticated users can force the server to make unauthorized requests to internal systems. This could allow an attacker to access sensitive internal data, such as cloud service credentials or private network information, potentially leading to a broader breach of the hosting environment. Users should update to the latest version to ensure these requests are properly filtered.

Technologies: [LobeHub LobeChat](https://junglewise.ai/threats/technologies/lobechat). Vendors: [LobeHub](https://junglewise.ai/threats/vendors/lobehub).

## Quick answers

**Is CVE-2026-59095 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-59095 being exploited in the wild.

**How severe is CVE-2026-59095?** High severity, with a CVSS score of 7.7, published 2 July 2026.

**Which products and versions are affected?** LobeHub LobeChat before 2.2.10-canary.18.

**Is there a fix for CVE-2026-59095?** A patch was published on 2026-07-02: Fix merged in PR 16601 Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**How is CVE-2026-59095 attacked?** It is attacked over the network, in a network appliance.

**Am I affected by CVE-2026-59095?** Check whether you run LobeHub LobeChat at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

A Server-Side Request Forgery (SSRF) vulnerability exists in LobeChat's 'importFromUrl' and 'fetchImageFromUrl' endpoints. These components utilized the global JavaScript 'fetch' function directly on user-supplied URLs instead of using the project's 'ssrf-safe-fetch' wrapper, which implements IP address filtering. An authenticated attacker can exploit this to perform full-read SSRF against internal resources, including cloud instance metadata services (e.g., 169.254.169.254) to extract IAM credentials or probe internal network ports. The vulnerability is resolved in version 2.2.10-canary.18 by routing these requests through the 'ssrfSafeFetch' guard.

## Affected products

- LobeHub LobeChat before 2.2.10-canary.18

## Timeline

- 2026-07-02: patched: Fix merged in PR 16601
- 2026-07-02: advisory: NVD and VulnCheck advisories published

## References

- [https://github.com/lobehub/lobehub/issues/16536](https://github.com/lobehub/lobehub/issues/16536)
- [https://github.com/lobehub/lobehub/pull/16601](https://github.com/lobehub/lobehub/pull/16601)
- [https://www.vulncheck.com/advisories/lobechat-canary-18-ssrf-via-importfromurl-and-fetchimagefromurl](https://www.vulncheck.com/advisories/lobechat-canary-18-ssrf-via-importfromurl-and-fetchimagefromurl)

## Related threats

- [LobeHub LobeChat webhook signature verification bypass](https://junglewise.ai/threats/cve-2026-85621-lobehub-lobechat-webhook-signature-verification-bypass)
- [LobeChat stored XSS in user avatar upload](https://junglewise.ai/threats/cve-2026-72594-lobechat-stored-xss-in-user-avatar-upload)
- [LobeHub LobeChat broken object level authorization in chat-group agents](https://junglewise.ai/threats/cve-2026-59100-lobehub-lobechat-broken-object-level-authorization-in-chat-group)
- [LobeHub LobeChat broken access control in RAG semantic search](https://junglewise.ai/threats/cve-2026-59098-lobehub-lobechat-broken-access-control-in-rag-semantic-search)
- [LobeHub LobeChat broken object-level authorization in MessageModel](https://junglewise.ai/threats/cve-2026-58580-lobehub-lobechat-broken-object-level-authorization-in)