CVE-2019-19915 (GCVE-0-2019-19915)
Vulnerability from cvelistv5 – Published: 2019-12-19 21:07 – Updated: 2024-08-05 02:32Summary
The "301 Redirects - Easy Redirect Manager" plugin before 2.45 for WordPress allows users (with subscriber or greater access) to modify, delete, or inject redirect rules, and exploit XSS, with the /admin-ajax.php?action=eps_redirect_save and /admin-ajax.php?action=eps_redirect_delete actions. This could result in a loss of site availability, malicious redirects, and user infections. This could also be exploited via CSRF.
Severity
9 (Critical)
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://wpvulndb.com/vulnerabilities/9979 | x_refsource_MISC |
| https://www.wordfence.com/blog/2019/12/critical-v… | x_refsource_MISC |
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a7764d88-ded4-4a15-a73c-f4acdeb4c244
Exploited: Yes
Timestamps
First Seen: 2019-12-19
Asserted: 2019-12-19
Scope
Notes: KEVIntel entry: The "301 Redirects - Easy Redirect Manager" plugin before 2.45 for WordPress allows users (with subscriber or greater access) to modify, delete, or... | Affected: WordPress / 301 Redirects - Easy Redirect Manager | CVSS: 9.0 (CRITICAL) | EPSS: 0.00181 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | The "301 Redirects - Easy Redirect Manager" plugin before 2.45 for WordPress allows users (with subscriber or greater access) to modify, delete, or... |
| Vendor | WordPress |
| Product | 301 Redirects - Easy Redirect Manager |
| Added Date | 2019-12-19T10:20:28.000Z |
| Cvss Score | 9.0 |
| Epss Score | 0.00181 |
| Cvss Severity | CRITICAL |
| Epss Percentile | 0.40448 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-23 14:04 UTC
| Updated: 2026-07-10 06:14 UTC
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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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