GSD-2020-16253
Vulnerability from gsd - Updated: 2020-08-04 00:00Details
The PgHero dashboard is vulnerable to CSRF with non-session based authentication methods.
## Impact
The PgHero dashboard is vulnerable to cross-site request forgery (CSRF). This affects the Docker
image, Linux packages, and in specific cases, the Ruby gem. The Ruby gem is vulnerable with
non-session based authentication methods like basic authentication - session-based authentication
methods (like Devise's default authentication) are not affected.
A CSRF attack works by getting an authorized user to visit a malicious website and then performing
requests on behalf of the user. In this instance, actions include:
1. Canceling running queries
2. Running `EXPLAIN` on queries (without seeing the results, but can be used for denial of service
and other attacks)
3. Resetting query stats (running `pg_stat_statements_reset()`)
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-16253",
"description": "The PgHero gem through 2.6.0 for Ruby allows CSRF.",
"id": "GSD-2020-16253"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"affected": [
{
"package": {
"ecosystem": "RubyGems",
"name": "pghero",
"purl": "pkg:gem/pghero"
}
}
],
"aliases": [
"CVE-2020-16253",
"GHSA-v6fx-752r-ccp2"
],
"details": "The PgHero dashboard is vulnerable to CSRF with non-session based authentication methods.\n\n## Impact\nThe PgHero dashboard is vulnerable to cross-site request forgery (CSRF). This affects the Docker\nimage, Linux packages, and in specific cases, the Ruby gem. The Ruby gem is vulnerable with\nnon-session based authentication methods like basic authentication - session-based authentication\nmethods (like Devise\u0027s default authentication) are not affected.\n\nA CSRF attack works by getting an authorized user to visit a malicious website and then performing\nrequests on behalf of the user. In this instance, actions include:\n\n1. Canceling running queries\n2. Running `EXPLAIN` on queries (without seeing the results, but can be used for denial of service\n and other attacks)\n3. Resetting query stats (running `pg_stat_statements_reset()`)\n",
"id": "GSD-2020-16253",
"modified": "2020-08-04T00:00:00.000Z",
"published": "2020-08-04T00:00:00.000Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/ankane/pghero/issues/330"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": 8.1,
"type": "CVSS_V3"
}
],
"summary": "CSRF Vulnerability with Non-Session Based Authentication"
}
},
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"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2020-16253",
"STATE": "PUBLIC"
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"affects": {
"vendor": {
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{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
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"name": "https://github.com/ankane/pghero/",
"refsource": "MISC",
"url": "https://github.com/ankane/pghero/"
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"name": "https://github.com/ankane/pghero/issues/330",
"refsource": "MISC",
"url": "https://github.com/ankane/pghero/issues/330"
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},
"github.com/rubysec/ruby-advisory-db": {
"cve": "2020-16253",
"cvss_v3": 8.1,
"date": "2020-08-04",
"description": "The PgHero dashboard is vulnerable to CSRF with non-session based authentication methods.\n\n## Impact\nThe PgHero dashboard is vulnerable to cross-site request forgery (CSRF). This affects the Docker\nimage, Linux packages, and in specific cases, the Ruby gem. The Ruby gem is vulnerable with\nnon-session based authentication methods like basic authentication - session-based authentication\nmethods (like Devise\u0027s default authentication) are not affected.\n\nA CSRF attack works by getting an authorized user to visit a malicious website and then performing\nrequests on behalf of the user. In this instance, actions include:\n\n1. Canceling running queries\n2. Running `EXPLAIN` on queries (without seeing the results, but can be used for denial of service\n and other attacks)\n3. Resetting query stats (running `pg_stat_statements_reset()`)\n",
"gem": "pghero",
"ghsa": "v6fx-752r-ccp2",
"patched_versions": [
"\u003e= 2.7.0"
],
"title": "CSRF Vulnerability with Non-Session Based Authentication",
"url": "https://github.com/ankane/pghero/issues/330"
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c=2.6.0",
"affected_versions": "All versions up to 2.6.0",
"cvss_v2": "AV:N/AC:M/Au:N/C:N/I:P/A:P",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-352",
"CWE-937"
],
"date": "2020-08-05",
"description": "The PgHero gem allows CSRF.",
"fixed_versions": [
"2.7.0"
],
"identifier": "CVE-2020-16253",
"identifiers": [
"CVE-2020-16253"
],
"not_impacted": "All versions after 2.6.0",
"package_slug": "gem/pghero",
"pubdate": "2020-08-05",
"solution": "Upgrade to version 2.7.0 or above.",
"title": "Cross-Site Request Forgery (CSRF)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-16253"
],
"uuid": "05ae9628-f329-4e58-9f63-2a299d9158d7"
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:pghero_project:pghero:*:*:*:*:*:ruby:*:*",
"cpe_name": [],
"versionEndIncluding": "2.6.0",
"vulnerable": true
}
],
"operator": "OR"
}
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"tags": [
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{
"name": "https://github.com/ankane/pghero/issues/330",
"refsource": "MISC",
"tags": [
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"url": "https://github.com/ankane/pghero/issues/330"
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.8,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.2
}
},
"lastModifiedDate": "2020-08-05T15:35Z",
"publishedDate": "2020-08-05T14:15Z"
}
}
}
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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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- 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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