GSD-2023-5522
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Mattermost Mobile fails to limit the maximum number of Markdown elements in a post allowing an attacker to send a post with hundreds of emojis to a channel and freeze the mobile app of users when viewing that particular channel.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-5522",
"id": "GSD-2023-5522"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "Mattermost Mobile fails to limit\u00a0the maximum number of Markdown elements in a post allowing an attacker to send a post with hundreds of emojis to a channel and\u00a0freeze the mobile app of users when viewing that particular channel.\u00a0\n\n",
"id": "GSD-2023-5522",
"modified": "2023-12-13T01:20:50.664770Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Mattermost",
"version": {
"version_data": [
{
"version_value": "not down converted",
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"value": "\u0160imon \u010cech\u00e1\u010dek"
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}
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"generator": {
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"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 4.3,
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"confidentialityImpact": "NONE",
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"url": "https://mattermost.com/security-updates"
}
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},
"solution": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eUpdate Mattermost Mobile to versions 2.8.0 or higher.\u003c/p\u003e"
}
],
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}
],
"source": {
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"defect": [
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},
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"name": "https://mattermost.com/security-updates",
"refsource": "MISC",
"tags": [
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
"version": "3.1"
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"impactScore": 1.4
}
},
"lastModifiedDate": "2023-10-24T18:56Z",
"publishedDate": "2023-10-17T10:15Z"
}
}
}
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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.
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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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