CVE-2019-25104 (GCVE-0-2019-25104)
Vulnerability from cvelistv5 – Published: 2023-02-20 17:31 – Updated: 2024-08-05 03:00
VLAI
EPSS
VEX
Title
rtcwcoop Team Command ai_cast_script.c AICast_ScriptLoad denial of service
Summary
A vulnerability has been found in rtcwcoop 1.0.2 and classified as problematic. Affected by this vulnerability is the function AICast_ScriptLoad of the file code/game/ai_cast_script.c of the component Team Command Handler. The manipulation leads to denial of service. The identifier of the patch is f2cd18bc2e1cbca8c4b78bee9c392272bd5f42ac. It is recommended to apply a patch to fix this issue. The identifier VDB-221485 was assigned to this vulnerability.
Severity
CWE
- CWE-404 - Denial of Service
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.221485 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.221485 | signaturepermissions-required |
| https://github.com/rtcwcoop/rtcwcoop/pull/45 | issue-tracking |
| https://github.com/rtcwcoop/rtcwcoop/commit/f2cd1… | patch |
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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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