Vulnerability-Lookup

GHSA-5XCX-XJWC-J24X

Vulnerability from github – Published: 2025-11-17 06:30 – Updated: 2025-11-17 06:30

Details

Improper certificate validation vulnerability exists in 'デジラアプリ' App for iOS prior to ver.80.10.00. If this vulnerability is exploited, a man-in-the-middle attack may allow an attacker to eavesdrop on and/or tamper with an encrypted communication.

Severity

4.8 (Medium)


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

2.3 (Low)


                  
                    CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2025-60022"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-295"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-11-17T06:15:44Z",
    "severity": "LOW"
  },
  "details": "Improper certificate validation vulnerability exists in \u0027\u30c7\u30b8\u30e9\u30a2\u30d7\u30ea\u0027 App for iOS prior to ver.80.10.00. If this vulnerability is exploited, a man-in-the-middle attack may allow an attacker to eavesdrop on and/or tamper with an encrypted communication.",
  "id": "GHSA-5xcx-xjwc-j24x",
  "modified": "2025-11-17T06:30:15Z",
  "published": "2025-11-17T06:30:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-60022"
    },
    {
      "type": "WEB",
      "url": "https://jvn.jp/en/jp/JVN54005037"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2025-60022 (GCVE-0-2025-60022)

Vulnerability from cvelistv5 – Published: 2025-11-17 05:51 – Updated: 2025-11-17 16:36

Summary

Severity

4.8 (Medium)


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

2.3 (Low)


                        
                          CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-11-17 16:33 UTC

CWE

CWE-295 - Improper certificate validation

Assigner

jpcert jpcert root

References

1 reference

URL	Tags
https://jvn.jp/en/jp/JVN54005037/

Impacted products

1 product

Vendor	Product	Version
KDDI CORPORATION	'デジラアプリ' App for iOS	Affected: prior to ver.80.10.00

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-60022",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-11-17T16:33:07.473322Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
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        ],
        "providerMetadata": {
          "dateUpdated": "2025-11-17T16:36:39.305Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "\u0027\u30c7\u30b8\u30e9\u30a2\u30d7\u30ea\u0027 App for iOS",
          "vendor": "KDDI CORPORATION",
          "versions": [
            {
              "status": "affected",
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            }
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        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "baseScore": 4.8,
            "baseSeverity": "MEDIUM",
            "vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
            "version": "3.0"
          },
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          "scenarios": [
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        "dateUpdated": "2025-11-17T05:51:23.460Z",
        "orgId": "ede6fdc4-6654-4307-a26d-3331c018e2ce",
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      },
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        {
          "url": "https://jvn.jp/en/jp/JVN54005037/"
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  },
  "cveMetadata": {
    "assignerOrgId": "ede6fdc4-6654-4307-a26d-3331c018e2ce",
    "assignerShortName": "jpcert",
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    "datePublished": "2025-11-17T05:51:23.460Z",
    "dateReserved": "2025-10-29T04:18:42.064Z",
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    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.