Vulnerability-Lookup

GHSA-85X3-59H8-RMRV

Vulnerability from github – Published: 2022-01-15 00:01 – Updated: 2022-01-22 00:01

Details

Acrobat Reader DC version 21.007.20099 (and earlier), 20.004.30017 (and earlier) and 17.011.30204 (and earlier) are affected by a Violation of Secure Design Principles that could lead to a Security feature bypass. Acrobat Reader DC displays a warning message when a user clicks on a PDF file, which could be used by an attacker to mislead the user. In affected versions, this warning message does not include custom protocols when used by the sender. User interaction is required to abuse this vulnerability as they would need to click 'allow' on the warning message of a malicious file.

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{
  "affected": [],
  "aliases": [
    "CVE-2021-44714"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-14T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Acrobat Reader DC version 21.007.20099 (and earlier), 20.004.30017 (and earlier) and 17.011.30204 (and earlier) are affected by a Violation of Secure Design Principles that could lead to a Security feature bypass. Acrobat Reader DC displays a warning message when a user clicks on a PDF file, which could be used by an attacker to mislead the user. In affected versions, this warning message does not include custom protocols when used by the sender. User interaction is required to abuse this vulnerability as they would need to click \u0027allow\u0027 on the warning message of a malicious file.",
  "id": "GHSA-85x3-59h8-rmrv",
  "modified": "2022-01-22T00:01:58Z",
  "published": "2022-01-15T00:01:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-44714"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/acrobat/apsb22-01.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2021-44714 (GCVE-0-2021-44714)

Vulnerability from cvelistv5 – Published: 2022-01-14 19:05 – Updated: 2024-09-16 16:22

Title

Adobe Acrobat Reader Missing Custom Protocols in Warning Message Prompts

Summary

Severity

2.5 (Low)


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

CWE

CWE-657 - Violation of Secure Design Principles (CWE-657)

Assigner

adobe mitre root

References

1 reference

URL	Tags
https://helpx.adobe.com/security/products/acrobat…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Adobe	Acrobat Reader	Affected: unspecified , ≤ 21.007.20099 (custom) Affected: unspecified , ≤ 20.004.30017 (custom) Affected: unspecified , ≤ 17.011.30204 (custom) Affected: unspecified , ≤ None (custom)

Date Public

2022-01-11 00:00

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  "containers": {
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        "providerMetadata": {
          "dateUpdated": "2024-08-04T04:25:16.997Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://helpx.adobe.com/security/products/acrobat/apsb22-01.html"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "Adobe",
          "versions": [
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              "status": "affected",
              "version": "unspecified",
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            },
            {
              "lessThanOrEqual": "17.011.30204",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            },
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              "version": "unspecified",
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        }
      ],
      "metrics": [
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            "attackComplexity": "HIGH",
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            "baseScore": 2.5,
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            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
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      "references": [
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        }
      ],
      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "Adobe Acrobat Reader Missing Custom Protocols in Warning Message Prompts",
      "x_legacyV4Record": {
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          "DATE_PUBLIC": "2022-01-11T23:00:00.000Z",
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        },
        "affects": {
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                          {
                            "version_affected": "\u003c=",
                            "version_value": "17.011.30204"
                          },
                          {
                            "version_affected": "\u003c=",
                            "version_value": "None"
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                      }
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    "dateReserved": "2021-12-07T00:00:00.000Z",
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    "state": "PUBLISHED"
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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.