CVE-2019-8943 (GCVE-0-2019-8943)
Vulnerability from cvelistv5 – Published: 2019-02-20 03:00 – Updated: 2024-08-04 21:31
VLAI
EPSS
VEX
Summary
WordPress through 5.0.3 allows Path Traversal in wp_crop_image(). An attacker (who has privileges to crop an image) can write the output image to an arbitrary directory via a filename containing two image extensions and ../ sequences, such as a filename ending with the .jpg?/../../file.jpg substring.
Severity
6.5 (Medium)
CWE
- n/a
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/46511/ | exploitx_refsource_EXPLOIT-DB |
| https://blog.ripstech.com/2019/wordpress-image-re… | x_refsource_MISC |
| http://www.securityfocus.com/bid/107089 | vdb-entryx_refsource_BID |
| http://packetstormsecurity.com/files/152396/WordP… | x_refsource_MISC |
| http://www.rapid7.com/db/modules/exploit/multi/ht… | x_refsource_MISC |
| https://www.exploit-db.com/exploits/46662/ | exploitx_refsource_EXPLOIT-DB |
| http://packetstormsecurity.com/files/161213/WordP… | x_refsource_MISC |
Date Public
2019-02-19 00:00
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.