CVE-2017-15010 (GCVE-0-2017-15010)
Vulnerability from cvelistv5 – Published: 2017-10-03 16:00 – Updated: 2024-08-05 19:42
VLAI
EPSS
VEX
Summary
A ReDoS (regular expression denial of service) flaw was found in the tough-cookie module before 2.3.3 for Node.js. An attacker that is able to make an HTTP request using a specially crafted cookie may cause the application to consume an excessive amount of CPU.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2017:2913 | vendor-advisoryx_refsource_REDHAT |
| https://nodesecurity.io/advisories/525 | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/101185 | vdb-entryx_refsource_BID |
| https://access.redhat.com/errata/RHSA-2018:1264 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2017:2912 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2018:1263 | vendor-advisoryx_refsource_REDHAT |
| https://github.com/salesforce/tough-cookie/issues/92 | x_refsource_CONFIRM |
| https://snyk.io/vuln/npm:tough-cookie:20170905 | x_refsource_CONFIRM |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
Date Public
2017-10-03 00:00
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"lang": "en",
"value": "CWE-400"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-28T11:11:11+00:00",
"cve": "CVE-2017-15010",
"id": "CVE-2017-15010",
"initial_release_date": "2017-09-05T00:00:00+00:00",
"product_status:fixed": "149",
"product_status:known_not_affected": "3",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "nodejs-tough-cookie: Regular expression denial of service",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-15010.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2025-07-01T02:30:50Z",
"cve": "CVE-2017-15010",
"id": "CVE-2017-15010",
"initial_release_date": "2023-02-15T04:38:56Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-15010",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-15010.json",
"version": "6"
}
}
}
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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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