GHSA-F55G-X8QQ-2569
Vulnerability from github – Published: 2022-05-03 00:00 – Updated: 2022-05-18 19:19
VLAI
Summary
CSV-Safe improperly filters special characters potentially leading to CSV injection
Details
CSV-Safe gem < 3.0.0 doesn't filter out special characters which could trigger CSV Injection.
Severity
9.8 (Critical)
{
"affected": [
{
"package": {
"ecosystem": "RubyGems",
"name": "csv-safe"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.0.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-28481"
],
"database_specific": {
"cwe_ids": [
"CWE-1236"
],
"github_reviewed": true,
"github_reviewed_at": "2022-05-18T19:19:58Z",
"nvd_published_at": "2022-05-01T15:15:00Z",
"severity": "CRITICAL"
},
"details": "CSV-Safe gem \u003c 3.0.0 doesn\u0027t filter out special characters which could trigger CSV Injection.",
"id": "GHSA-f55g-x8qq-2569",
"modified": "2022-05-18T19:19:58Z",
"published": "2022-05-03T00:00:46Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-28481"
},
{
"type": "WEB",
"url": "https://github.com/zvory/csv-safe/issues/7"
},
{
"type": "WEB",
"url": "https://github.com/zvory/csv-safe/pull/8"
},
{
"type": "WEB",
"url": "https://github.com/WeblateOrg/weblate/commit/d9e136ff228e3760fd6dd7572869ac38e9a81809"
},
{
"type": "WEB",
"url": "https://hackerone.com/reports/223999"
},
{
"type": "WEB",
"url": "https://github.com/rubysec/ruby-advisory-db/blob/master/gems/csv-safe/CVE-2022-28481.yml"
},
{
"type": "PACKAGE",
"url": "https://github.com/zvory/csv-safe"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "CSV-Safe improperly filters special characters potentially leading to CSV injection"
}
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- 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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