GSD-2022-41958
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
super-xray is a web vulnerability scanning tool. Versions prior to 0.7 assumed trusted input for the program config which is stored in a yaml file. An attacker with local access to the file could exploit this and compromise the program. This issue has been addressed in commit `4d0d5966` and will be included in future releases. Users are advised to upgrade. There are no known workarounds for this issue.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-41958",
"id": "GSD-2022-41958"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-41958"
],
"details": "super-xray is a web vulnerability scanning tool. Versions prior to 0.7 assumed trusted input for the program config which is stored in a yaml file. An attacker with local access to the file could exploit this and compromise the program. This issue has been addressed in commit `4d0d5966` and will be included in future releases. Users are advised to upgrade. There are no known workarounds for this issue.",
"id": "GSD-2022-41958",
"modified": "2023-12-13T01:19:33.152121Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-41958",
"STATE": "PUBLIC",
"TITLE": "Deserialization Vulnerability by yaml config input in super-xray"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "super-xray",
"version": {
"version_data": [
{
"version_value": "\u003c 0.7"
}
]
}
}
]
},
"vendor_name": "4ra1n"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
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{
"lang": "eng",
"value": "super-xray is a web vulnerability scanning tool. Versions prior to 0.7 assumed trusted input for the program config which is stored in a yaml file. An attacker with local access to the file could exploit this and compromise the program. This issue has been addressed in commit `4d0d5966` and will be included in future releases. Users are advised to upgrade. There are no known workarounds for this issue."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-502: Deserialization of Untrusted Data"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/4ra1n/super-xray/security/advisories/GHSA-39pv-4vmj-c4fr",
"refsource": "CONFIRM",
"url": "https://github.com/4ra1n/super-xray/security/advisories/GHSA-39pv-4vmj-c4fr"
},
{
"name": "https://github.com/4ra1n/super-xray/commit/4d0d59663596db03f39d7edd2be251d48b52dcfc",
"refsource": "MISC",
"url": "https://github.com/4ra1n/super-xray/commit/4d0d59663596db03f39d7edd2be251d48b52dcfc"
}
]
},
"source": {
"advisory": "GHSA-39pv-4vmj-c4fr",
"discovery": "UNKNOWN"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "(,0.7)",
"affected_versions": "All versions before 0.7",
"cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-502",
"CWE-937"
],
"date": "2022-11-30",
"description": "super-xray is a web vulnerability scanning tool. Versions prior to 0.7 assumed trusted input for the program config which is stored in a yaml file. An attacker with local access to the file could exploit this and compromise the program. This issue has been addressed in commit `4d0d5966` and will be included in future releases. Users are advised to upgrade. There are no known workarounds for this issue.",
"fixed_versions": [
"0.7"
],
"identifier": "CVE-2022-41958",
"identifiers": [
"CVE-2022-41958",
"GHSA-39pv-4vmj-c4fr"
],
"not_impacted": "",
"package_slug": "maven/com.chaitin/super-xray",
"pubdate": "2022-11-25",
"solution": "Upgrade to version 0.7 or above.",
"title": "Deserialization of Untrusted Data",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-41958",
"https://github.com/4ra1n/super-xray/commit/4d0d59663596db03f39d7edd2be251d48b52dcfc",
"https://github.com/4ra1n/super-xray/security/advisories/GHSA-39pv-4vmj-c4fr"
],
"uuid": "11073570-d534-433e-b8f7-590d7b2f1cb0"
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:super_xray_project:super_xray:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "0.7",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-41958"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "super-xray is a web vulnerability scanning tool. Versions prior to 0.7 assumed trusted input for the program config which is stored in a yaml file. An attacker with local access to the file could exploit this and compromise the program. This issue has been addressed in commit `4d0d5966` and will be included in future releases. Users are advised to upgrade. There are no known workarounds for this issue."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/4ra1n/super-xray/commit/4d0d59663596db03f39d7edd2be251d48b52dcfc",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/4ra1n/super-xray/commit/4d0d59663596db03f39d7edd2be251d48b52dcfc"
},
{
"name": "https://github.com/4ra1n/super-xray/security/advisories/GHSA-39pv-4vmj-c4fr",
"refsource": "CONFIRM",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://github.com/4ra1n/super-xray/security/advisories/GHSA-39pv-4vmj-c4fr"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-11-30T20:16Z",
"publishedDate": "2022-11-25T18:15Z"
}
}
}
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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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