Vulnerability-Lookup

GHSA-MG6C-WW2W-MV2H

Vulnerability from github – Published: 2022-05-24 17:29 – Updated: 2022-05-24 17:29

Details

A vulnerability in the API Framework of Cisco AsyncOS for Cisco Web Security Appliance (WSA) and Cisco Content Security Management Appliance (SMA) could allow an unauthenticated, remote attacker to inject crafted HTTP headers in the web server's response. The vulnerability is due to insufficient validation of user input. An attacker could exploit this vulnerability by persuading a user to access a crafted URL and receive a malicious HTTP response. A successful exploit could allow the attacker to inject arbitrary HTTP headers into valid HTTP responses sent to a user's browser.

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{
  "affected": [],
  "aliases": [
    "CVE-2020-3117"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-09-23T01:15:00Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability in the API Framework of Cisco AsyncOS for Cisco Web Security Appliance (WSA) and Cisco Content Security Management Appliance (SMA) could allow an unauthenticated, remote attacker to inject crafted HTTP headers in the web server\u0027s response. The vulnerability is due to insufficient validation of user input. An attacker could exploit this vulnerability by persuading a user to access a crafted URL and receive a malicious HTTP response. A successful exploit could allow the attacker to inject arbitrary HTTP headers into valid HTTP responses sent to a user\u0027s browser.",
  "id": "GHSA-mg6c-ww2w-mv2h",
  "modified": "2022-05-24T17:29:18Z",
  "published": "2022-05-24T17:29:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-3117"
    },
    {
      "type": "WEB",
      "url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20200122-wsa-sma-header-inject"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2020-3117 (GCVE-0-2020-3117)

Vulnerability from cvelistv5 – Published: 2020-09-23 00:25 – Updated: 2024-11-13 18:06

Title

Cisco Web Security Appliance and Cisco Content Security Management Appliance HTTP Header Injection Vulnerability

Summary

Severity

4.7 (Medium)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:N/I:L/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-13 17:23 UTC

CWE

CWE-113

Assigner

cisco mitre root

References

1 reference

URL	Tags
https://tools.cisco.com/security/center/content/C…	vendor-advisoryx_refsource_CISCO

Impacted products

1 product

Vendor	Product	Version
Cisco	Cisco Web Security Appliance (WSA)	Affected: n/a

Date Public

2020-01-22 00:00

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JSON

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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.