GHSA-5846-7QM3-R52J
Vulnerability from github – Published: 2026-07-31 16:58 – Updated: 2026-07-31 16:58
VLAI
Summary
dssrf: any users using 1.1.1.1 DNS is impacted by SSRF
Details
Summary
is_url_safe can treat localhost as safe when DNS resolver 1.1.1.1 returns NXDOMAIN because dns.resolve4 yields no address and no dns.lookup fallback occurs, allowing server-side request forgery.
POC
Example to simulate 1.1.1.1 in version before 1.5.0 of dssrf:
import { is_url_safe } from '../dist/helpers.js';
import dns from 'dns';
dns.setServers(['1.1.1.1']);
const TARGET = 'http://localhost/admin';
console.log(`Testing: ${TARGET}`);
console.log(`Current DNS Servers: ${dns.getServers()}`);
const result = await is_url_safe(TARGET);
if (result === true) {
console.log('dssrf treated localhost as SAFE because 1.1.1.1 returned NXDOMAIN.');
} else {
console.log('dssrf blocked localhost.');
}
Severity
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 1.0.4"
},
"package": {
"ecosystem": "npm",
"name": "dssrf"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.0.5"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-54729"
],
"database_specific": {
"cwe_ids": [
"CWE-918"
],
"github_reviewed": true,
"github_reviewed_at": "2026-07-31T16:58:42Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"details": "## Summary\n\nis_url_safe can treat localhost as safe when DNS resolver 1.1.1.1 returns NXDOMAIN because dns.resolve4 yields no address and no dns.lookup fallback occurs, allowing server-side request forgery.\n\n## POC\n\nExample to simulate 1.1.1.1 in version before 1.5.0 of dssrf:\n\n```js\nimport { is_url_safe } from \u0027../dist/helpers.js\u0027;\nimport dns from \u0027dns\u0027;\n\n\ndns.setServers([\u00271.1.1.1\u0027]);\n\nconst TARGET = \u0027http://localhost/admin\u0027;\n\nconsole.log(`Testing: ${TARGET}`);\nconsole.log(`Current DNS Servers: ${dns.getServers()}`);\n\nconst result = await is_url_safe(TARGET);\n\nif (result === true) {\n console.log(\u0027dssrf treated localhost as SAFE because 1.1.1.1 returned NXDOMAIN.\u0027);\n} else {\n console.log(\u0027dssrf blocked localhost.\u0027);\n}\n```",
"id": "GHSA-5846-7qm3-r52j",
"modified": "2026-07-31T16:58:42Z",
"published": "2026-07-31T16:58:42Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/HackingRepo/dssrf-js/security/advisories/GHSA-5846-7qm3-r52j"
},
{
"type": "WEB",
"url": "https://github.com/HackingRepo/dssrf-js/pull/102"
},
{
"type": "WEB",
"url": "https://github.com/HackingRepo/dssrf-js/commit/668c21792cd1252baf779a176aa652e2b4c0067d"
},
{
"type": "PACKAGE",
"url": "https://github.com/HackingRepo/dssrf-js"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "dssrf: any users using 1.1.1.1 DNS is impacted by SSRF"
}
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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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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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