CVE-2019-1785 (GCVE-0-2019-1785)
Vulnerability from cvelistv5 – Published: 2019-04-08 19:05 – Updated: 2024-11-19 19:12
VLAI
EPSS
VEX
Title
Clam AntiVirus RAR Directory Traversal Vulnerability
Summary
A vulnerability in the RAR file scanning functionality of Clam AntiVirus (ClamAV) Software versions 0.101.1 and 0.101.0 could allow an unauthenticated, remote attacker to cause a denial of service condition on an affected device. The vulnerability is due to a lack of proper error-handling mechanisms when processing nested RAR files sent to an affected device. An attacker could exploit this vulnerability by sending a crafted RAR file to an affected device. An exploit could allow the attacker to view or create arbitrary files on the targeted system.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-19 17:21 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://bugzilla.clamav.net/show_bug.cgi?id=12284 | x_refsource_MISC |
| https://security.gentoo.org/glsa/201904-12 | vendor-advisoryx_refsource_GENTOO |
Impacted products
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The vulnerability is due to a lack of proper error-handling mechanisms when processing nested RAR files sent to an affected device. An attacker could exploit this vulnerability by sending a crafted RAR file to an affected device. 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The vulnerability is due to a lack of proper error-handling mechanisms when processing nested RAR files sent to an affected device. An attacker could exploit this vulnerability by sending a crafted RAR file to an affected device. An exploit could allow the attacker to view or create arbitrary files on the targeted system.\"}]}, \"problemtype\": {\"problemtype_data\": [{\"description\": [{\"lang\": \"eng\", \"value\": \"CWE-20 Improper Input Validation\"}]}]}, \"data_version\": \"4.0\", \"CVE_data_meta\": {\"ID\": \"CVE-2019-1785\", \"STATE\": \"PUBLIC\", \"TITLE\": \"Clam AntiVirus RAR Directory Traversal Vulnerability\", \"ASSIGNER\": \"psirt@cisco.com\"}}}}",
"cveMetadata": "{\"cveId\": \"CVE-2019-1785\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2024-11-19T19:12:31.535Z\", \"dateReserved\": \"2018-12-06T00:00:00.000Z\", \"assignerOrgId\": \"d1c1063e-7a18-46af-9102-31f8928bc633\", \"datePublished\": \"2019-04-08T19:05:21.000Z\", \"assignerShortName\": \"cisco\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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.
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.
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