CVE-2021-1404 (GCVE-0-2021-1404)
Vulnerability from cvelistv5 – Published: 2021-04-08 04:30 – Updated: 2024-11-08 23:25
VLAI
EPSS
VEX
Title
Clam AntiVirus (ClamAV) Email Parser Denial of Service Vulnerability
Summary
A vulnerability in the PDF parsing module in Clam AntiVirus (ClamAV) Software versions 0.103.0 and 0.103.1 could allow an unauthenticated, remote attacker to cause a denial of service condition on an affected device. The vulnerability is due to improper buffer size tracking that may result in a heap buffer over-read. An attacker could exploit this vulnerability by sending a crafted PDF file to an affected device. An exploit could allow the attacker to cause the ClamAV scanning process to crash, resulting in a denial of service condition.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-08 20:02 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://blog.clamav.net/2021/04/clamav-01032-secu… | vendor-advisoryx_refsource_CISCO |
Impacted products
Date Public
2021-04-08 00:00
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"shortName": "cisco"
},
"references": [
{
"tags": [
"vendor-advisory",
"x_refsource_CISCO"
],
"url": "https://blog.clamav.net/2021/04/clamav-01032-security-patch-release.html"
}
],
"source": {
"advisory": "https://blog.clamav.net/2021/04/clamav-01032-security-patch-release.html",
"discovery": "UNKNOWN"
},
"title": "Clam AntiVirus (ClamAV) Email Parser Denial of Service Vulnerability",
"x_generator": {
"engine": "Vulnogram 0.0.9"
},
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "psirt@cisco.com",
"DATE_PUBLIC": "2021-04-08T12:08:00.000Z",
"ID": "CVE-2021-1404",
"STATE": "PUBLIC",
"TITLE": "Clam AntiVirus (ClamAV) Email Parser Denial of Service Vulnerability"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "ClamAV",
"version": {
"version_data": [
{
"version_affected": "=",
"version_value": "0.103.0"
},
{
"version_affected": "=",
"version_value": "0.103.1"
}
]
}
}
]
},
"vendor_name": "Cisco"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "A vulnerability in the PDF parsing module in Clam AntiVirus (ClamAV) Software versions 0.103.0 and 0.103.1 could allow an unauthenticated, remote attacker to cause a denial of service condition on an affected device. The vulnerability is due to improper buffer size tracking that may result in a heap buffer over-read. An attacker could exploit this vulnerability by sending a crafted PDF file to an affected device. An exploit could allow the attacker to cause the ClamAV scanning process to crash, resulting in a denial of service condition."
}
]
},
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},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-20 Improper Input Validation"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://blog.clamav.net/2021/04/clamav-01032-security-patch-release.html",
"refsource": "CISCO",
"url": "https://blog.clamav.net/2021/04/clamav-01032-security-patch-release.html"
}
]
},
"source": {
"advisory": "https://blog.clamav.net/2021/04/clamav-01032-security-patch-release.html",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "d1c1063e-7a18-46af-9102-31f8928bc633",
"assignerShortName": "cisco",
"cveId": "CVE-2021-1404",
"datePublished": "2021-04-08T04:30:18.361Z",
"dateReserved": "2020-11-13T00:00:00.000Z",
"dateUpdated": "2024-11-08T23:25:27.140Z",
"state": "PUBLISHED"
},
"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.
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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