Vulnerability-Lookup

GSD-2020-6858

Vulnerability from gsd - Updated: 2023-12-13 01:21

Details

Hotels Styx through 1.0.0.beta8 allows HTTP response splitting due to CRLF Injection. This is exploitable if untrusted user input can appear in a response header.

Aliases

CVE-2020-6858

Aliases

CVE-2020-6858

JSON

To clipboard

{
  "GSD": {
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    "description": "Hotels Styx through 1.0.0.beta8 allows HTTP response splitting due to CRLF Injection. This is exploitable if untrusted user input can appear in a response header.",
    "id": "GSD-2020-6858"
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      "remediation": "unknown",
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          "pubdate": "2020-03-03",
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          "title": "Improper Neutralization of Special Elements in Output Used by a Downstream Component (\u0027Injection\u0027)",
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}

CVE-2020-6858 (GCVE-0-2020-6858)

Vulnerability from cvelistv5 – Published: 2020-03-12 13:38 – Updated: 2024-08-04 09:11

Summary

Hotels Styx through 1.0.0.beta8 allows HTTP response splitting due to CRLF Injection. This is exploitable if untrusted user input can appear in a response header.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://twitter.com/JLLeitschuh	x_refsource_MISC
https://github.com/HotelsDotCom/styx/security/adv…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.