CVE-2017-16137 (GCVE-0-2017-16137)
Vulnerability from cvelistv5 – Published: 2018-06-07 02:00 – Updated: 2024-09-16 19:00
VLAI
EPSS
VEX
Summary
The debug module is vulnerable to regular expression denial of service when untrusted user input is passed into the o formatter. It takes around 50k characters to block for 2 seconds making this a low severity issue.
Severity
5.3 (Medium)
CWE
- CWE-400 - Denial of Service (CWE-400)
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/visionmedia/debug/pull/504 | x_refsource_MISC |
| https://github.com/visionmedia/debug/issues/501 | x_refsource_MISC |
| https://nodesecurity.io/advisories/534 | x_refsource_MISC |
| https://lists.apache.org/thread.html/r8ba4c628fba… | mailing-listx_refsource_MLIST |
| https://lists.apache.org/thread.html/rb5ac16fad33… | mailing-listx_refsource_MLIST |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| HackerOne | debug node module |
Affected:
<= 2.6.8 || >= 3.0.0 <= 3.0.1
|
guessed |
Date Public
2018-04-26 00:00
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"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-28T11:13:01+00:00",
"cve": "CVE-2017-16137",
"id": "CVE-2017-16137",
"initial_release_date": "2017-09-05T00:00:00+00:00",
"product_status:fixed": "1",
"product_status:known_affected": "6",
"product_status:known_not_affected": "20",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "nodejs-debug: Regular expression Denial of Service",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-16137.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2025-02-18T07:28:08Z",
"cve": "CVE-2017-16137",
"id": "CVE-2017-16137",
"initial_release_date": "2023-02-15T04:37:40Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-16137",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-16137.json",
"version": "4"
}
}
}
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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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