Vulnerability-Lookup

GHSA-9H9J-M9F5-4F79

Vulnerability from github – Published: 2022-04-16 00:00 – Updated: 2022-04-27 00:00

Details

The Signal app before 5.34 for iOS allows URI spoofing via RTLO injection. It incorrectly renders RTLO encoded URLs beginning with a non-breaking space, when there is a hash character in the URL. This technique allows a remote unauthenticated attacker to send legitimate looking links, appearing to be any website URL, by abusing the non-http/non-https automatic rendering of URLs. An attacker can spoof, for example, example.com, and masquerade any URL with a malicious destination. An attacker requires a subdomain such as gepj, txt, fdp, or xcod, which would appear backwards as jpeg, txt, pdf, and docx respectively.

Severity

7.5 (High)


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

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  "affected": [],
  "aliases": [
    "CVE-2022-28345"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-74"
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    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-04-15T06:15:00Z",
    "severity": "HIGH"
  },
  "details": "The Signal app before 5.34 for iOS allows URI spoofing via RTLO injection. It incorrectly renders RTLO encoded URLs beginning with a non-breaking space, when there is a hash character in the URL. This technique allows a remote unauthenticated attacker to send legitimate looking links, appearing to be any website URL, by abusing the non-http/non-https automatic rendering of URLs. An attacker can spoof, for example, example.com, and masquerade any URL with a malicious destination. An attacker requires a subdomain such as gepj, txt, fdp, or xcod, which would appear backwards as jpeg, txt, pdf, and docx respectively.",
  "id": "GHSA-9h9j-m9f5-4f79",
  "modified": "2022-04-27T00:00:35Z",
  "published": "2022-04-16T00:00:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-28345"
    },
    {
      "type": "WEB",
      "url": "https://blog.malwarebytes.com/social-engineering/2022/03/uri-spoofing-flaw-could-phish-whatsapp-signal-instagram-and-imessage-users"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sickcodes/security/blob/master/advisories/SICK-2022-42.md"
    },
    {
      "type": "WEB",
      "url": "https://github.com/zadewg/RIUS"
    },
    {
      "type": "WEB",
      "url": "https://sick.codes/sick-2022-42"
    }
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  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-28345 (GCVE-0-2022-28345)

Vulnerability from cvelistv5 – Published: 2022-04-15 05:28 – Updated: 2024-08-03 05:56

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
https://github.com/zadewg/RIUS	x_refsource_MISC
https://sick.codes/sick-2022-42	x_refsource_MISC
https://github.com/sickcodes/security/blob/master…	x_refsource_MISC
https://blog.malwarebytes.com/social-engineering/…	x_refsource_MISC

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Sightings

Author	Source	Type	Date	Other

Nomenclature

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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.

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.

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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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GHSA-9H9J-M9F5-4F79

CVE-2022-28345 (GCVE-0-2022-28345)

Tags

Sightings

Nomenclature

Related by attack behaviour