Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/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-2026-4979 is a medium-severity SSRF (CWE-918) vulnerability in Wordpress (inferred from references). Its CVSS base score is 5.0 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 28th percentile by exploit likelihood (below the median); 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.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-21649
Vulnerability Data
The UsersWP – Front-end login form, User Registration, User Profile & Members Directory plugin for WP plugin for WordPress is vulnerable to blind Server-Side Request Forgery in all versions up to, and including, 1.2.58. This is due to insufficient URL…
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origin validation in the process_image_crop() method when processing avatar/banner image crop operations. The function accepts a user-controlled URL via the uwp_crop POST parameter and only validates it using esc_url() for sanitization and wp_check_filetype() for extension verification, without enforcing that the URL references a local uploads file. The URL is then passed to uwp_resizeThumbnailImage() which uses it in PHP image processing functions (getimagesize(), imagecreatefrom*()) that support URL wrappers and perform outbound HTTP requests. This makes it possible for authenticated attackers with subscriber-level access and above to coerce the WordPress server into making arbitrary HTTP requests to attacker-controlled or internal network destinations, enabling internal network scanning and potential access to sensitive services.
- 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.