Vulnerability-Lookup

GSD-2022-40849

Vulnerability from gsd - Updated: 2023-12-13 01:19

Details

ThinkCMF version 6.0.7 is affected by Stored Cross-Site Scripting (XSS). An attacker who successfully exploited this vulnerability could inject a Persistent XSS payload in the Slideshow Management section that execute arbitrary JavaScript code on the client side, e.g., to steal the administrator's PHP session token (PHPSESSID).

Aliases

CVE-2022-40849

Aliases

CVE-2022-40849

JSON

To clipboard

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    "alias": "CVE-2022-40849",
    "id": "GSD-2022-40849"
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      "remediation": "unknown",
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}

CVE-2022-40849 (GCVE-0-2022-40849)

Vulnerability from cvelistv5 – Published: 2022-12-01 00:00 – Updated: 2025-04-24 20:23

Summary

Severity

5.4 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-24 20:22 UTC

CWE

n/a
CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2325 records in the last 180 days details

References

1 reference

URL	Tags
https://github.com/thinkcmf/thinkcmf/issues/737

Show details on NVD website

JSON

To clipboard

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                "timestamp": "2025-04-24T20:22:39.700314Z",
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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.

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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.

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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