CVE-2024-45167 (GCVE-0-2024-45167)
Vulnerability from cvelistv5 – Published: 2024-08-22 00:00 – Updated: 2024-08-22 20:02
VLAI
EPSS
VEX
Summary
An issue was discovered in UCI IDOL 2 (aka uciIDOL or IDOL2) through 2.12. Due to improper input validation, improper deserialization, and improper restriction of operations within the bounds of a memory buffer, IDOL2 is vulnerable to Denial-of-Service (DoS) attacks and possibly remote code execution. A certain XmlMessage document causes 100% CPU consumption.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-22 20:00 UTC
CWE
- n/a
- CWE-20 - Improper Input Validation
Assigner
References
6 references
Impacted products
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{
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},
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},
{
"url": "http://download.uci.de/idol2/idol2Client_2_12.exe"
},
{
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"epss": "0.01205",
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"fkie_nvd": {
"descriptions": [
{
"lang": "en",
"value": "An issue was discovered in UCI IDOL 2 (aka uciIDOL or IDOL2) through 2.12. Due to improper input validation, improper deserialization, and improper restriction of operations within the bounds of a memory buffer, IDOL2 is vulnerable to Denial-of-Service (DoS) attacks and possibly remote code execution. A certain XmlMessage document causes 100% CPU consumption."
},
{
"lang": "es",
"value": "Se descubri\u00f3 un problema en UCI IDOL 2 (tambi\u00e9n conocido como uciIDOL o IDOL2) hasta 2.12. Debido a una validaci\u00f3n de entrada inadecuada, una deserializaci\u00f3n inadecuada y una restricci\u00f3n inadecuada de operaciones dentro de los l\u00edmites de un b\u00fafer de memoria, IDOL2 es vulnerable a ataques de denegaci\u00f3n de servicio (DoS) y posiblemente a la ejecuci\u00f3n remota de c\u00f3digo. Un determinado documento XmlMessage provoca un consumo de CPU del 100 %."
}
],
"id": "CVE-2024-45167",
"lastModified": "2024-08-22T20:35:24.417",
"metrics": {
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"userInteraction": "NONE",
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"published": "2024-08-22T04:15:25.710",
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{
"source": "cve@mitre.org",
"url": "http://download.uci.de/idol2/idol2Client_2_12.exe"
},
{
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"url": "https://uci.de/download/idol2-client.html"
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{
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"url": "https://uci.de/products/index.html"
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{
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},
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}
],
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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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