Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:NCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2024-27564 is a medium-severity SSRF (CWE-918) vulnerability in Dirk1983 Chatgpt. Its CVSS base score is 5.8 (Medium).
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.
CVE-2024-27564 is a server-side request forgery vulnerability (CWE-918) affecting pictureproxy.php in the dirk1983 mm1.ltd source code at commit f9f4bbc. The flaw resides in the url parameter, which is processed without sufficient validation, allowing an attacker-controlled URL to be fetched by the server.
An unauthenticated remote attacker can exploit the issue over the network by supplying an arbitrary URL, resulting in the server making outbound requests on the attacker's behalf. The CVSS 5.8 score reflects limited confidentiality impact with changed scope but no integrity or availability effects.
The listed references consist of a GitHub issue and archived copies of the affected repository and file; none describe patches, configuration changes, or other mitigations. The EPSS score remains high at a current value of 0.9189 with a peak of 0.9237.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-24759
Vulnerability Data
pictureproxy.php in the dirk1983 mm1.ltd source code f9f4bbc allows SSRF via the url parameter. NOTE: the references section has an archived copy of pictureproxy.php from its original GitHub location, but the repository name might later change because it is misleading.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
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.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
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.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.