CVE-2024-11234
Published: 24 November 2024
Summary
CVE-2024-11234 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Php Php. Its CVSS base score is 4.8 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Remote System Discovery (T1018); ranked in the top 21.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-33766
Vulnerability details
In PHP versions 8.1.* before 8.1.31, 8.2.* before 8.2.26, 8.3.* before 8.3.14, when using streams with configured proxy and "request_fulluri" option, the URI is not properly sanitized which can lead to HTTP request smuggling and allow the attacker to use…
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the proxy to perform arbitrary HTTP requests originating from the server, thus potentially gaining access to resources not normally available to the external user.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability allows HTTP request smuggling via CRLF injection in PHP streams with proxy and request_fulluri, enabling SSRF to exploit public-facing applications (T1190), discover remote systems (T1018), discover network services (T1046), and access cloud instance metadata APIs (T1522).
Affected Assets
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.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Directly implements checks on information inputs to reject invalid data before processing.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.