Cyber Resilience

CVE-2024-32964

SSRF in Lobehub Lobe Chat ≤ 0.150.6

Public PoCHigh EPSSSSRF
Published
14 May 2024
Modified
30 September 2025
Patch / advisory
CVSS Score v3.1 9.0
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:L/A:H
EPSS Score 0.53 99th percentile
Risk Priority 83 floored blend · peak EPSS

Summary

CVE-2024-32964 is a critical-severity SSRF (CWE-918) vulnerability in Lobehub Lobe Chat. Its CVSS base score is 9.0 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

Lobe Chat, an open-source chatbot framework supporting speech synthesis, multimodal inputs, and extensible plugins, is affected by an unauthorized Server-Side Request Forgery vulnerability in the /api/proxy endpoint prior to version 0.150.6. The flaw, tracked as CWE-918, allows construction of malicious requests that the server will forward, exposing internal services and sensitive data. It carries a CVSS 3.1 score of 9.0.

An unauthenticated attacker can exploit the issue over the network by sending crafted requests to the proxy endpoint, bypassing any login requirement. Successful exploitation enables attacks against intranet resources and leakage of sensitive information, with the high severity reflecting the combination of confidentiality, integrity, and availability impacts under the given attack vector.

The vulnerability was addressed in commit 465665a and is documented in GitHub Security Advisory GHSA-mxhq-xw3g-rphc; users should upgrade to lobe-chat 0.150.6 or later. The associated EPSS score has reached a peak of 0.7414 with a current value of 0.7168, indicating substantial and sustained exploitation interest following disclosure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Lobe Chat is a chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Prior to 0.150.6, lobe-chat had an unauthorized Server-Side Request Forgery vulnerability in the /api/proxy endpoint. An attacker can construct malicious requests to cause…

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Server-Side Request Forgery without logging in, attack intranet services, and leak sensitive information.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-32965Same product: Lobehub Lobe Chat
CVE-2024-47066Same product: Lobehub Lobe Chat
CVE-2025-59417Same product: Lobehub Lobe Chat
CVE-2024-24566Same product: Lobehub Lobe Chat
CVE-2024-37895Same product: Lobehub Lobe Chat
CVE-2025-59426Same product: Lobehub Lobe Chat
CVE-2025-46568Shared CWE-918
CVE-2024-51408Shared CWE-918
CVE-2026-15525Shared CWE-918
CVE-2025-28089Shared CWE-918

Affected Assets

lobehub
lobe chat
≤ 0.150.6

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.3.6
  • V1.5.3
  • V5.3.2
  • V10.4.7

Mitigating Controls (NIST 800-53 r5) AI

Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.

Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.

Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure development practices directly include input validation and destination allow-listing that prevent SSRF.

DE.CM-09 partial match
prevents

Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.

ID.RA-01 partial match
prevents

Vulnerability identification processes can discover and record SSRF flaws in web applications.

PR.IR-01 partial match
prevents

Network segmentation and egress controls can limit the damage from successful SSRF requests.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.

References