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CVE-2025-21042 (GCVE-0-2025-21042)

Vulnerability from cvelistv5 – Published: 2025-09-12 07:21 – Updated: 2026-02-26 17:48
VLAI CISA Previdian
Summary
Out-of-bounds write in libimagecodec.quram.so prior to SMR Apr-2025 Release 1 allows remote attackers to execute arbitrary code.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
SSVC
Exploitation: active Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-11 04:55 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
Samsung Mobile Samsung Mobile Devices Unaffected: SMR Apr-2025 Release in Android 13, 14, 15
guessed Create a notification for this product.
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 20521150-22f6-412f-9e36-69d6a1a69c22

Vulnerability ID: CVE-2025-21042

Status: Confirmed

Status Updated: 2025-11-10 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2025-11-10
Asserted: 2025-11-10
Scope
Notes: KEV entry: Samsung Mobile Devices Out-of-Bounds Write Vulnerability | Affected: Samsung / Mobile Devices | Description: Samsung mobile devices contain an out-of-bounds write vulnerability in libimagecodec.quram.so. This vulnerability could allow remote attackers to execute arbitrary code. | Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable. | Due date: 2025-12-01 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://security.samsungmobile.com/securityUpdate.smsb?year=2025&month=04 ; https://nvd.nist.gov/vuln/detail/CVE-2025-21042
Evidence

Type: Vendor Report

Signal: Successful Exploitation

Confidence: 80%

Source: cisa-kev

Details
Cwes CWE-787
Feed CISA Known Exploited Vulnerabilities Catalog
Product Mobile Devices
Due Date 2025-12-01
Date Added 2025-11-10
Vendorproject Samsung
Vulnerabilityname Samsung Mobile Devices Out-of-Bounds Write Vulnerability
Knownransomwarecampaignuse Unknown
References
Created: 2026-02-02 12:25 UTC | Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 80fdfd24-e022-4b4b-bec7-2b5de21e274a

Vulnerability ID: CVE-2025-21042

Status: Confirmed

Status Updated: 2026-06-01 10:44 UTC

Exploited: Yes

Timestamps
First Seen: 2026-06-01
Asserted: 2026-06-01
Scope
Notes: KEVIntel entry: Out-of-bounds write in libimagecodec.quram.so prior to SMR Apr-2025 Release 1 allows remote attackers to execute arbitrary code. | Affected: Samsung Mobile / Samsung Mobile Devices | CVSS: 8.8 (HIGH) | EPSS: 0.11606 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title Out-of-bounds write in libimagecodec.quram.so prior to SMR Apr-2025 Release 1 allows remote attackers to execute arbitrary code.
Vendor Samsung Mobile
Product Samsung Mobile Devices
Added Date 2026-06-01T10:44:11.029Z
Cvss Score 8.8
Epss Score 0.11606
Cvss Severity HIGH
Epss Percentile 0.95489
Used In Malware unknown
Ahead Of Cisa Kev 
{
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  "unit": "day"
}
Not Yet In Cisa Kev False
References
Created: 2026-06-23 14:03 UTC | Updated: 2026-07-10 06:14 UTC
Show details on NVD website
To clipboard 

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Advisory\"]},{\"url\":\"https://unit42.paloaltonetworks.com/landfall-is-new-commercial-grade-android-spyware/\",\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"tags\":[\"Technical Description\",\"Third Party Advisory\"]},{\"url\":\"https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2025-21042\",\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"tags\":[\"US Government Resource\"]}]}}",
    "redhat_vex": {
      "current_release_date": "2026-03-27T08:52:41+00:00",
      "cve": "CVE-2025-21042",
      "id": "CVE-2025-21042",
      "initial_release_date": "2025-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "CVE-2025-21042",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-21042.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2025-21042\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"active\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-11-11T04:55:33.177810Z\"}}}, {\"other\": {\"type\": \"kev\", \"content\": {\"dateAdded\": \"2025-11-10\", \"reference\": \"https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2025-21042\"}}}], \"timeline\": [{\"lang\": \"en\", \"time\": \"2025-11-10T00:00:00.000Z\", \"value\": \"CVE-2025-21042 added to CISA KEV\"}], \"references\": [{\"url\": \"https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2025-21042\", \"tags\": [\"government-resource\"]}, {\"url\": \"https://unit42.paloaltonetworks.com/landfall-is-new-commercial-grade-android-spyware/\"}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-09-12T13:05:33.221Z\"}}], \"cna\": {\"metrics\": [{\"format\": \"CVSS\", \"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 8.8, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\", \"integrityImpact\": \"HIGH\", \"userInteraction\": \"REQUIRED\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"HIGH\"}}], \"affected\": [{\"vendor\": \"Samsung Mobile\", \"product\": \"Samsung Mobile Devices\", \"versions\": [{\"status\": \"unaffected\", \"version\": \"SMR Apr-2025 Release in Android 13, 14, 15\"}], \"defaultStatus\": \"affected\"}], \"references\": [{\"url\": \"https://security.samsungmobile.com/securityUpdate.smsb?year=2025\u0026month=04\"}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"Out-of-bounds write in libimagecodec.quram.so prior to SMR Apr-2025 Release 1 allows remote attackers to execute arbitrary code.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"description\": \"CWE-787 Out-of-bounds Write\"}]}], \"providerMetadata\": {\"orgId\": \"3af57064-a867-422c-b2ad-40307b65c458\", \"shortName\": \"SamsungMobile\", \"dateUpdated\": \"2025-09-12T07:21:49.997Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2025-21042\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-02-26T17:48:40.023Z\", \"dateReserved\": \"2024-11-06T02:30:14.888Z\", \"assignerOrgId\": \"3af57064-a867-422c-b2ad-40307b65c458\", \"datePublished\": \"2025-09-12T07:21:49.997Z\", \"assignerShortName\": \"SamsungMobile\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.


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.