Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:L/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-2024-43989 is a high-severity SSRF (CWE-918) vulnerability. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Junk Data (T1001.001); ranked in the top 4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
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.
The vulnerability is a Server-Side Request Forgery (SSRF) flaw, tracked as CVE-2024-43989 with CWE-918, in the Firsh Justified Image Grid WordPress plugin. It affects all versions through 4.6.1 and carries a CVSS 3.1 score of 7.5 reflecting network attack vector, high complexity, no required privileges or user interaction, and changed scope with high confidentiality impact.
An unauthenticated attacker can supply crafted requests that cause the affected WordPress server to issue outbound HTTP requests to arbitrary internal or external destinations. Successful exploitation can expose sensitive internal resources or services while producing limited integrity effects, all without authentication.
The public advisory published by Patchstack details the unauthenticated SSRF issue in the plugin and is available at the referenced URL for further technical information and remediation guidance. The associated EPSS score has remained near 0.17 with negligible movement between its recorded peak and current value.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-40638
Vulnerability Data
Server-Side Request Forgery (SSRF) vulnerability in Firsh Justified Image Grid justified-image-grid.This issue affects Justified Image Grid: from n/a through <= 4.6.1.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
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.
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.