Vulnerability-Lookup

GHSA-2894-36C8-F98V

Vulnerability from github – Published: 2022-05-19 00:00 – Updated: 2022-05-28 00:00

Details

The Zoom Client for Meetings (for Android, iOS, Linux, MacOS, and Windows) before version 5.10.0 failed to properly parse XML stanzas in XMPP messages. This can allow a malicious user to break out of the current XMPP message context and create a new message context to have the receiving users client perform a variety of actions.This issue could be used in a more sophisticated attack to forge XMPP messages from the server.

Severity

8.1 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2022-22784"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-91"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-05-18T16:15:00Z",
    "severity": "HIGH"
  },
  "details": "The Zoom Client for Meetings (for Android, iOS, Linux, MacOS, and Windows) before version 5.10.0 failed to properly parse XML stanzas in XMPP messages. This can allow a malicious user to break out of the current XMPP message context and create a new message context to have the receiving users client perform a variety of actions.This issue could be used in a more sophisticated attack to forge XMPP messages from the server.",
  "id": "GHSA-2894-36c8-f98v",
  "modified": "2022-05-28T00:00:27Z",
  "published": "2022-05-19T00:00:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22784"
    },
    {
      "type": "WEB",
      "url": "https://explore.zoom.us/en/trust/security/security-bulletin"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-22784 (GCVE-0-2022-22784)

Vulnerability from cvelistv5 – Published: 2022-05-18 15:41 – Updated: 2024-09-16 17:59

Title

Improper XML Parsing in Zoom Client for Meetings

Summary

Severity

8.1 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

CWE

Improper Input Validation

Assigner

Zoom mitre root

References

1 reference

URL	Tags
https://explore.zoom.us/en/trust/security/securit…	x_refsource_MISC

Impacted products

5 products

Vendor	Product	Version
Zoom Video Communications Inc	Zoom Client for Meetings for Android	Affected: unspecified , < 5.10.0 (custom)
Zoom Video Communications Inc	Zoom Client for Meetings for iOS	Affected: unspecified , < 5.10.0 (custom)
Zoom Video Communications Inc	Zoom Client for Meetings for Linux	Affected: unspecified , < 5.10.0 (custom)
Zoom Video Communications Inc	Zoom Client for Meetings for MacOS	Affected: unspecified , < 5.10.0 (custom)
Zoom Video Communications Inc	Zoom Client for Meetings for Windows	Affected: unspecified , < 5.10.0 (custom)

Date Public

2022-05-17 00:00

Credits

Ivan Fratric of Google Project Zero

Show details on NVD website

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.