CVE-2026-4979 (GCVE-0-2026-4979)
Vulnerability from cvelistv5 – Published: 2026-04-11 01:25 – Updated: 2026-04-13 15:15
VLAI
EPSS
VEX
Title
UsersWP <= 1.2.58 - Authenticated (Subscriber+) Server-Side Request Forgery via 'uwp_crop' Parameter
Summary
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 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.
Severity
5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-13 15:10 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
6 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| stiofansisland | UsersWP – Front-end login form, User Registration, User Profile & Members Directory plugin for WP |
Affected:
0 , ≤ 1.2.58
(semver)
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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