Vulnerability-Lookup

GSD-2023-26852

Vulnerability from gsd - Updated: 2023-12-13 01:20

Details

An arbitrary file upload vulnerability in the upload plugin of Textpattern v4.8.8 and below allows attackers to execute arbitrary code by uploading a crafted PHP file.

Aliases

CVE-2023-26852

Aliases

CVE-2023-26852

JSON

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    "alias": "CVE-2023-26852",
    "id": "GSD-2023-26852"
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}

CVE-2023-26852 (GCVE-0-2023-26852)

Vulnerability from cvelistv5 – Published: 2023-04-12 00:00 – Updated: 2025-02-10 16:01

Summary

An arbitrary file upload vulnerability in the upload plugin of Textpattern v4.8.8 and below allows attackers to execute arbitrary code by uploading a crafted PHP file.

Severity

7.2 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-02-10 15:59 UTC

CWE

n/a
CWE-434 - Unrestricted Upload of File with Dangerous Type

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/textpattern/textpattern
https://drive.google.com/drive/folders/1x55FGWZyd…
https://github.com/leekenghwa/CVE-2023-26852-Text…

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.