GSD-2022-1445
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Stored Cross Site Scripting vulnerability in the checked_out_to parameter in GitHub repository snipe/snipe-it prior to 5.4.3. The vulnerability is capable of stolen the user Cookie.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-1445",
"description": "Stored Cross Site Scripting vulnerability in the checked_out_to parameter in GitHub repository snipe/snipe-it prior to 5.4.3. The vulnerability is capable of stolen the user Cookie.",
"id": "GSD-2022-1445"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-1445"
],
"details": "Stored Cross Site Scripting vulnerability in the checked_out_to parameter in GitHub repository snipe/snipe-it prior to 5.4.3. The vulnerability is capable of stolen the user Cookie.",
"id": "GSD-2022-1445",
"modified": "2023-12-13T01:19:27.765996Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC",
"TITLE": "Stored Cross Site Scripting vulnerability in the checked_out_to parameter in snipe/snipe-it"
},
"affects": {
"vendor": {
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{
"product": {
"product_data": [
{
"product_name": "snipe/snipe-it",
"version": {
"version_data": [
{
"version_affected": "\u003c",
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},
"impact": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H",
"version": "3.0"
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"problemtype": {
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"description": [
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"lang": "eng",
"value": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)"
}
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"url": "https://huntr.dev/bounties/f4420149-5236-4051-a458-5d4f1d5b7abd"
},
{
"name": "https://github.com/snipe/snipe-it/commit/f623d05d0c3487ae24c4f13907e4709484e5bf41",
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"url": "https://github.com/snipe/snipe-it/commit/f623d05d0c3487ae24c4f13907e4709484e5bf41"
}
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},
"source": {
"advisory": "f4420149-5236-4051-a458-5d4f1d5b7abd",
"discovery": "EXTERNAL"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c5.4.3",
"affected_versions": "All versions before 5.4.3",
"cvss_v2": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-79",
"CWE-937"
],
"date": "2022-05-03",
"description": "Stored Cross Site Scripting vulnerability in the checked_out_to parameter in GitHub repository snipe/snipe-it prior to 5.4.3. The vulnerability is capable of stolen the user Cookie.",
"fixed_versions": [
"5.4.3"
],
"identifier": "CVE-2022-1445",
"identifiers": [
"CVE-2022-1445"
],
"not_impacted": "All versions starting from 5.4.3",
"package_slug": "packagist/snipe/snipe-it",
"pubdate": "2022-04-24",
"solution": "Upgrade to version 5.4.3 or above.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-1445",
"https://github.com/snipe/snipe-it/commit/f623d05d0c3487ae24c4f13907e4709484e5bf41",
"https://huntr.dev/bounties/f4420149-5236-4051-a458-5d4f1d5b7abd"
],
"uuid": "bd38e0fc-21f5-4fd5-bf06-c40a6329cd34"
}
]
},
"nvd.nist.gov": {
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"nodes": [
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"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:snipeitapp:snipe-it:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "5.4.3",
"vulnerable": true
}
],
"operator": "OR"
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"problemtype": {
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"references": {
"reference_data": [
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"name": "https://github.com/snipe/snipe-it/commit/f623d05d0c3487ae24c4f13907e4709484e5bf41",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/snipe/snipe-it/commit/f623d05d0c3487ae24c4f13907e4709484e5bf41"
},
{
"name": "https://huntr.dev/bounties/f4420149-5236-4051-a458-5d4f1d5b7abd",
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"Third Party Advisory"
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]
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 2.7
}
},
"lastModifiedDate": "2022-05-03T17:23Z",
"publishedDate": "2022-04-24T15:15Z"
}
}
}
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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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