Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/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-2016-3718 is a medium-severity SSRF (CWE-918) vulnerability in Redhat Enterprise Linux Eus. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique LSASS Memory (T1003.001); ranked in the top 0.5% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
The vulnerability is an instance of server-side request forgery (SSRF), tracked as CWE-918, that affects the HTTP and FTP coders in ImageMagick versions prior to 6.9.3-10 and 7.x prior to 7.0.1-1. It is triggered when these coders process a specially crafted image file and carries a CVSS 3.1 base score of 5.5.
An attacker can supply the malicious image to any application or workflow that uses the vulnerable ImageMagick library for decoding. Successful exploitation allows the attacker to induce the ImageMagick process to issue arbitrary HTTP or FTP requests to internal or external resources, potentially bypassing network controls or accessing services reachable from the host running ImageMagick.
The referenced ImageMagick changelog and multiple openSUSE security advisories address the issue by releasing updated packages that disable or restrict the HTTP and FTP coders by default and correct the underlying request-handling logic.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2016-4739
Vulnerability Data
The (1) HTTP and (2) FTP coders in ImageMagick before 6.9.3-10 and 7.x before 7.0.1-1 allow remote attackers to conduct server-side request forgery (SSRF) attacks via a crafted image.
- CWE(s)
- KEV Date Added
- 03 November 2021
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
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.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.
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.
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.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
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.