Vulnerability-Lookup

GHSA-2W33-VXPH-6JR3

Vulnerability from github – Published: 2022-05-24 17:43 – Updated: 2022-05-24 17:43

Details

Xerox AltaLink B8045/B8055/B8065/B8075/B8090 and C8030/C8035/C8045/C8055/C8070 multifunction printers with software releases before 101.00x.099.28200 allow an attacker to execute an unwanted binary during a exploited clone install. This requires creating a clone file and signing that file with a compromised private key.

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{
  "affected": [],
  "aliases": [
    "CVE-2019-18629"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-03-04T07:15:00Z",
    "severity": "HIGH"
  },
  "details": "Xerox AltaLink B8045/B8055/B8065/B8075/B8090 and C8030/C8035/C8045/C8055/C8070 multifunction printers with software releases before 101.00x.099.28200 allow an attacker to execute an unwanted binary during a exploited clone install. This requires creating a clone file and signing that file with a compromised private key.",
  "id": "GHSA-2w33-vxph-6jr3",
  "modified": "2022-05-24T17:43:36Z",
  "published": "2022-05-24T17:43:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-18629"
    },
    {
      "type": "WEB",
      "url": "https://security.business.xerox.com"
    },
    {
      "type": "WEB",
      "url": "https://securitydocs.business.xerox.com/wp-content/uploads/2021/03/cert_Security_Mini_Bulletin_XRX19AI_for_ALB80xx-C80xx_v1.1.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2019-18629 (GCVE-0-2019-18629)

Vulnerability from cvelistv5 – Published: 2021-03-04 06:12 – Updated: 2024-08-05 01:54

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://security.business.xerox.com	x_refsource_MISC
https://securitydocs.business.xerox.com/wp-conten…	x_refsource_CONFIRM

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{
  "containers": {
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        "providerMetadata": {
          "dateUpdated": "2024-08-05T01:54:14.488Z",
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            ],
            "url": "https://security.business.xerox.com"
          },
          {
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              "x_transferred"
            ],
            "url": "https://securitydocs.business.xerox.com/wp-content/uploads/2021/03/cert_Security_Mini_Bulletin_XRX19AI_for_ALB80xx-C80xx_v1.1.pdf"
          }
        ],
        "title": "CVE Program Container"
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    ],
    "cna": {
      "affected": [
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          "versions": [
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        }
      ],
      "problemTypes": [
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    "dateReserved": "2019-10-30T00:00:00.000Z",
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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.