GSD-2022-35221
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Teamplus Pro community discussion has an ‘allocation of resource without limits or throttling’ vulnerability on thread subject field. A remote attacker with general user privilege posting a thread subject with large content can cause the server to allocate too much memory, leading to missing partial post content and disrupt partial service.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-35221",
"description": "Teamplus Pro community discussion has an \u2018allocation of resource without limits or throttling\u2019 vulnerability on thread subject field. A remote attacker with general user privilege posting a thread subject with large content can cause the server to allocate too much memory, leading to missing partial post content and disrupt partial service.",
"id": "GSD-2022-35221"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-35221"
],
"details": "Teamplus Pro community discussion has an \u2018allocation of resource without limits or throttling\u2019 vulnerability on thread subject field. A remote attacker with general user privilege posting a thread subject with large content can cause the server to allocate too much memory, leading to missing partial post content and disrupt partial service.",
"id": "GSD-2022-35221",
"modified": "2023-12-13T01:19:33.362690Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2022-07-29T07:05:00.000Z",
"ID": "CVE-2022-35221",
"STATE": "PUBLIC",
"TITLE": "TEAMPLUS TECHNOLOGY INC. Teamplus Pro - Allocation of Resources Without Limits or Throttling-2"
},
"affects": {
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"version_affected": "\u003c=",
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"value": "Teamplus Pro community discussion has an \u2018allocation of resource without limits or throttling\u2019 vulnerability on thread subject field. A remote attacker with general user privilege posting a thread subject with large content can cause the server to allocate too much memory, leading to missing partial post content and disrupt partial service."
}
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"baseScore": 5.4,
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"confidentialityImpact": "NONE",
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"privilegesRequired": "LOW",
"scope": "UNCHANGED",
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"url": "https://www.twcert.org.tw/tw/cp-132-6360-7bf50-1.html"
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"solution": [
{
"lang": "eng",
"value": "Contact tech support from TEAMPLUS."
}
],
"source": {
"advisory": "TVN-202207005",
"discovery": "EXTERNAL"
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}
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"tags": [
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"impact": {
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},
"lastModifiedDate": "2022-08-08T17:24Z",
"publishedDate": "2022-08-02T16:15Z"
}
}
}
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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.
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- 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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