GSD-2022-4044
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A denial-of-service vulnerability in Mattermost allows an authenticated user to crash the server via multiple large autoresponder messages.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-4044",
"description": "A denial-of-service vulnerability in Mattermost allows an authenticated user to crash the server via multiple large autoresponder messages.",
"id": "GSD-2022-4044"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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],
"details": "A denial-of-service vulnerability in Mattermost allows an authenticated user to crash the server via multiple large autoresponder messages.",
"id": "GSD-2022-4044",
"modified": "2023-12-13T01:19:15.104404Z",
"schema_version": "1.4.0"
}
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"ID": "CVE-2022-4044",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
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{
"product": {
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{
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"version": {
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"version_value": "1.0.0"
},
{
"version_affected": "!",
"version_value": "7.1.4"
},
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"value": "vultza (vultza)"
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"generator": {
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"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"
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"problemtype": {
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},
"references": {
"reference_data": [
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"name": "https://mattermost.com/security-updates/",
"refsource": "MISC",
"url": "https://mattermost.com/security-updates/"
},
{
"name": "https://hackerone.com/reports/1680241",
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},
"solution": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "Update Mattermost to version v7.1.4, 7.2.1, 7.3.1, 7.4.0 or higher."
}
],
"value": "Update Mattermost to version v7.1.4, 7.2.1, 7.3.1, 7.4.0 or higher."
}
],
"source": {
"advisory": "MMSA-2022-00120",
"discovery": "EXTERNAL"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c7.1.4||\u003e=7.2.0 \u003c7.2.1||\u003e=7.3.0 \u003c7.3.1",
"affected_versions": "All versions before 7.1.4, all versions starting from 7.2.0 before 7.2.1, all versions starting from 7.3.0 before 7.3.1",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2022-11-23",
"description": "A denial-of-service vulnerability in Mattermost allows an authenticated user to crash the server via multiple large autoresponder messages.",
"fixed_versions": [
"7.1.4",
"7.2.1",
"7.3.1"
],
"identifier": "CVE-2022-4044",
"identifiers": [
"GHSA-5jph-wrq7-v9hf",
"CVE-2022-4044"
],
"not_impacted": "All versions starting from 7.1.4 before 7.2.0, all versions starting from 7.2.1 before 7.3.0, all versions starting from 7.3.1",
"package_slug": "go/github.com/mattermost/mattermost-server",
"pubdate": "2022-11-23",
"solution": "Upgrade to versions 7.1.4, 7.2.1, 7.3.1 or above.",
"title": "Denial of service in Mattermost",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-4044",
"https://hackerone.com/reports/1680241",
"https://mattermost.com/security-updates/",
"https://github.com/advisories/GHSA-5jph-wrq7-v9hf"
],
"uuid": "005ced3c-39fd-4c3d-ba8e-00e4eb3d9ba1"
}
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"nvd.nist.gov": {
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"nodes": [
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"cpe_match": [
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"cpe23Uri": "cpe:2.3:a:mattermost:mattermost:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "7.4",
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"ID": "CVE-2022-4044"
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"references": {
"reference_data": [
{
"name": "https://hackerone.com/reports/1680241",
"refsource": "MISC",
"tags": [
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"Third Party Advisory"
],
"url": "https://hackerone.com/reports/1680241"
},
{
"name": "https://mattermost.com/security-updates/",
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"tags": [
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"url": "https://mattermost.com/security-updates/"
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},
"impact": {
"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": "2022-11-26T03:36Z",
"publishedDate": "2022-11-23T06:15Z"
}
}
}
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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
- 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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