CVE-2021-25371 (GCVE-0-2021-25371)
Vulnerability from cvelistv5 – Published: 2021-03-26 18:24 – Updated: 2025-10-21 23:25Summary
A vulnerability in DSP driver prior to SMR Mar-2021 Release 1 allows attackers load arbitrary ELF libraries inside DSP.
Severity
6.1 (Medium)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-04 21:25 UTC
CWE
- CWE-912 - Hidden Functionality
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://security.samsungmobile.com/securityUpdate.smsb | x_refsource_CONFIRM |
| https://security.samsungmobile.com | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Samsung Mobile | Samsung Mobile Devices |
Affected:
Q(10.0), R(11.0) devices with exynos980, exynos2100, exynos9830 , < SMR Mar-2021 Release 1
(custom)
|
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 8734c4ff-cebf-46a0-a67a-a7080d267c48
Exploited: Yes
Timestamps
First Seen: 2023-06-29
Asserted: 2023-06-29
Scope
Notes: Samsung Mobile Devices Unspecified Vulnerability | Affected: Samsung / Mobile Devices | Description: Samsung mobile devices contain an unspecified vulnerability within DSP driver that allows attackers to load ELF libraries inside DSP. | Required action: Apply updates per vendor instructions or discontinue use of the product if updates are unavailable | Due date: 2023-07-20 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://security.samsungmobile.com/securityUpdate.smsb?year=2021&month=3; https://nvd.nist.gov/vuln/detail/CVE-2021-25371
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-912 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Mobile Devices |
| Due Date | 2023-07-20 |
| Date Added | 2023-06-29 |
| Vendorproject | Samsung |
| Vulnerabilityname | Samsung Mobile Devices Unspecified Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-02 08:09 CEST
| Updated: 2026-10-02 08:09 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: e63014cb-a97c-4a05-a5b9-572b1dcdf3c1
Exploited: Yes
Timestamps
First Seen: 2023-06-29
Asserted: 2023-06-29
Scope
Notes: A vulnerability in DSP driver prior to SMR Mar-2021 Release 1 allows attackers load arbitrary ELF libraries inside DSP. | Affected: Samsung Mobile / Samsung Mobile Devices | CVSS: 6.1 (MEDIUM) | EPSS: 0.00802 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | A vulnerability in DSP driver prior to SMR Mar-2021 Release 1 allows attackers load arbitrary ELF libraries inside DSP. |
| Cve Id | CVE-2021-25371 |
| Vendor | Samsung Mobile |
| Ghsa Id | None |
| Product | Samsung Mobile Devices |
| Added Date | 2023-06-29T00:00:00.000Z |
| Cvss Score | 6.1 |
| Epss Score | 0.00802 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.55035 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2021-25371 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:11 CEST
| Updated: 2026-10-02 09:11 CEST
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"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-912: Hidden Functionality"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://security.samsungmobile.com/securityUpdate.smsb",
"refsource": "CONFIRM",
"url": "https://security.samsungmobile.com/securityUpdate.smsb"
},
{
"name": "https://security.samsungmobile.com",
"refsource": "MISC",
"url": "https://security.samsungmobile.com"
}
]
},
"source": {
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "3af57064-a867-422c-b2ad-40307b65c458",
"assignerShortName": "Samsung Mobile",
"cveId": "CVE-2021-25371",
"datePublished": "2021-03-26T18:24:15.000Z",
"dateReserved": "2021-01-19T00:00:00.000Z",
"dateUpdated": "2025-10-21T23:25:51.106Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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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.
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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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.
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