CVE-2025-54328 (GCVE-0-2025-54328)
Vulnerability from cvelistv5 – Published: 2026-04-06 00:00 – Updated: 2026-04-06 20:04
VLAI
EPSS
VEX
Summary
An issue was discovered in SMS in Samsung Mobile Processor, Wearable Processor, and Modem Exynos 980, 990, 850, 1080, 2100, 1280, 2200, 1330, 1380, 1480, 2400, 1580, 2500, 9110, W920, W930, W1000, Modem 5123, Modem 5300, and Modem 5400. A Stack-based Buffer Overflow occurs while parsing SMS RP-DATA messages.
Severity
10 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- n/a
- CWE-121 - Stack-based Buffer Overflow
Assigner
References
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"redhat_vex": {
"current_release_date": "2026-04-07T05:12:55+00:00",
"cve": "CVE-2025-54328",
"id": "CVE-2025-54328",
"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-2025-54328",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-54328.json",
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}
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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.
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