GSD-2022-1337
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The image proxy component in Mattermost version 6.4.1 and earlier allocates memory for multiple copies of a proxied image, which allows an authenticated attacker to crash the server via links to very large image files.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-1337",
"description": "The image proxy component in Mattermost version 6.4.1 and earlier allocates memory for multiple copies of a proxied image, which allows an authenticated attacker to crash the server via links to very large image files.",
"id": "GSD-2022-1337"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-1337"
],
"details": "The image proxy component in Mattermost version 6.4.1 and earlier allocates memory for multiple copies of a proxied image, which allows an authenticated attacker to crash the server via links to very large image files.",
"id": "GSD-2022-1337",
"modified": "2023-12-13T01:19:27.667772Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "responsibledisclosure@mattermost.com",
"ID": "CVE-2022-1337",
"STATE": "PUBLIC",
"TITLE": "OOM DoS in Mattermost image proxy"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Mattermost",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "6.4",
"version_value": "6.4.2"
},
{
"version_affected": "\u003c",
"version_name": "6.3",
"version_value": "6.3.5"
},
{
"version_affected": "\u003c",
"version_name": "6.2",
"version_value": "6.2.5"
},
{
"version_affected": "\u003c",
"version_name": "5.37",
"version_value": "5.37.9"
}
]
}
}
]
},
"vendor_name": "Mattermost"
}
]
}
},
"configuration": [
{
"lang": "eng",
"value": "The local image proxy must be enabled for this issue to become exploitable. This is a non-default configuration."
}
],
"credit": [
{
"lang": "eng",
"value": "Thanks to Agniva de Sarker for contributing to this improvement under the Mattermost responsible disclosure policy."
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "The image proxy component in Mattermost version 6.4.1 and earlier allocates memory for multiple copies of a proxied image, which allows an authenticated attacker to crash the server via links to very large image files."
}
]
},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
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"value": "CWE-400 Uncontrolled Resource Consumption"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://mattermost.com/security-updates/",
"refsource": "MISC",
"url": "https://mattermost.com/security-updates/"
}
]
},
"solution": [
{
"lang": "eng",
"value": "Upgrade to Mattermost version 6.4.2, 6.3.5, 6.2.5, or 5.37.9."
}
],
"source": {
"advisory": "MMSA-2022-0090",
"defect": [
"https://mattermost.atlassian.net/browse/MM-41919"
],
"discovery": "INTERNAL"
},
"work_around": [
{
"lang": "eng",
"value": "Disable the image proxy or use an external proxy."
}
]
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c6.4.2",
"affected_versions": "All versions before 6.4.2",
"cvss_v2": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-400",
"CWE-937"
],
"date": "2022-04-26",
"description": "The image proxy component in Mattermost version 6.4.1 and earlier allocates memory for multiple copies of a proxied image, which allows an authenticated attacker to crash the server via links to very large image files.",
"fixed_versions": [
"6.4.2"
],
"identifier": "CVE-2022-1337",
"identifiers": [
"GHSA-f37q-q7p2-ccfc",
"CVE-2022-1337"
],
"not_impacted": "All versions starting from 6.4.2",
"package_slug": "go/github.com/mattermost/mattermost-server/v6",
"pubdate": "2022-04-14",
"solution": "Upgrade to version 6.4.2 or above.",
"title": "Uncontrolled Resource Consumption",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-1337",
"https://mattermost.com/security-updates/",
"https://github.com/advisories/GHSA-f37q-q7p2-ccfc"
],
"uuid": "8550e997-0e89-49f7-8d32-b4f96a104f8a"
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:mattermost:mattermost_server:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "6.2.5",
"versionStartIncluding": "6.2.0",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:mattermost:mattermost_server:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "6.4.2",
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},
{
"cpe23Uri": "cpe:2.3:a:mattermost:mattermost_server:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "6.3.5",
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{
"cpe23Uri": "cpe:2.3:a:mattermost:mattermost_server:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "5.37.9",
"versionStartIncluding": "5.37.0",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
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"ID": "CVE-2022-1337"
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"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "The image proxy component in Mattermost version 6.4.1 and earlier allocates memory for multiple copies of a proxied image, which allows an authenticated attacker to crash the server via links to very large image files."
}
]
},
"problemtype": {
"problemtype_data": [
{
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{
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},
"references": {
"reference_data": [
{
"name": "https://mattermost.com/security-updates/",
"refsource": "MISC",
"tags": [
"Vendor Advisory"
],
"url": "https://mattermost.com/security-updates/"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-07-21T16:55Z",
"publishedDate": "2022-04-13T18:15Z"
}
}
}
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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