CVE-2024-45172 (GCVE-0-2024-45172)
Vulnerability from cvelistv5 – Published: 2024-09-04 00:00 – Updated: 2024-09-06 06:03
VLAI
EPSS
VEX
Summary
An issue was discovered in za-internet C-MOR Video Surveillance 5.2401 and 6.00PL01. Due to missing protection mechanisms, the C-MOR web interface is vulnerable to cross-site request forgery (CSRF) attacks. The C-MOR web interface offers no protection against cross-site request forgery (CSRF) attacks.
Severity
6.8 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-04 19:22 UTC
CWE
- n/a
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| za-internet | c-mor_video_surveillance |
Affected:
5.2401
Affected: 6.00pl01 cpe:2.3:a:za-internet:c-mor_video_surveillance:*:*:*:*:*:*:*:* |
{
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"configurations": [
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},
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}
],
"id": "CVE-2024-45172",
"lastModified": "2026-06-17T07:53:43.160",
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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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