Vulnerability-Lookup

GHSA-PXQ2-RVHG-7CP9

Vulnerability from github – Published: 2025-07-17 15:32 – Updated: 2025-07-17 15:32

Details

Bluebird devices contain a pre-loaded kiosk application. This application exposes an unsecured service provider "com.bluebird.kiosk.launcher.IpartnerKioskRemoteService". A local attacker can bind to the AIDL-type service to modify device's global settings and wallpaper image.

This issue affects all versions before 1.1.2.

Severity

8.5 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2025-5344"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-926"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-07-17T13:15:23Z",
    "severity": "HIGH"
  },
  "details": "Bluebird devices contain a pre-loaded kiosk application. This application exposes an unsecured service provider \"com.bluebird.kiosk.launcher.IpartnerKioskRemoteService\". A local attacker can bind to the AIDL-type service to modify device\u0027s global settings and wallpaper image.\n\nThis issue affects all versions before 1.1.2.",
  "id": "GHSA-pxq2-rvhg-7cp9",
  "modified": "2025-07-17T15:32:14Z",
  "published": "2025-07-17T15:32:14Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-5344"
    },
    {
      "type": "WEB",
      "url": "https://cert.pl/en/posts/2025/07/CVE-2025-5344"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
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      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/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-2025-5344 (GCVE-0-2025-5344)

Vulnerability from cvelistv5 – Published: 2025-07-17 12:45 – Updated: 2025-07-17 13:48

Title

Exposed AIDL service allowing for tampering of system secure settings in Bluebird kiosk application

Summary

Severity

8.5 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-07-17 13:45 UTC

CWE

CWE-926 - Improper Export of Android Application Components

Assigner

CERT-PL ENISA root

References

1 reference

URL	Tags
https://cert.pl/en/posts/2025/07/CVE-2025-5344	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
Bluebird	com.bluebird.kiosk.launcher	Affected: 0 , < 1.1.2 (semver)

Date Public

2025-07-17 10:00

Credits

Szymon Chadam

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JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-5344",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-07-17T13:45:16.398221Z",
                "version": "2.0.3"
              },
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        ],
        "providerMetadata": {
          "dateUpdated": "2025-07-17T13:48:07.955Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
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          "defaultStatus": "unaffected",
          "platforms": [
            "Android"
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          "product": "com.bluebird.kiosk.launcher",
          "vendor": "Bluebird",
          "versions": [
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      "metrics": [
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          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
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            "privilegesRequired": "NONE",
            "providerUrgency": "NOT_DEFINED",
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            "subConfidentialityImpact": "NONE",
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            "userInteraction": "NONE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
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            "vulnerabilityResponseEffort": "NOT_DEFINED"
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      "references": [
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          "tags": [
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          "url": "https://cert.pl/en/posts/2025/07/CVE-2025-5344"
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      "source": {
        "discovery": "EXTERNAL"
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  "cveMetadata": {
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    "dateReserved": "2025-05-30T06:40:12.828Z",
    "dateUpdated": "2025-07-17T13:48:07.955Z",
    "state": "PUBLISHED"
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  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.