CVE-2026-7183 (GCVE-0-2026-7183)
Vulnerability from cvelistv5 – Published: 2026-04-27 22:30 – Updated: 2026-04-28 15:15 X_Open Source
VLAI
EPSS
VEX
Title
aligungr UERANSIM Radio Link Simulation Layer rls_pdu.cpp DecodeRlsMessage uncaught exception
Summary
A vulnerability has been found in aligungr UERANSIM up to 3.2.7. The affected element is the function rls::DecodeRlsMessage in the library src/lib/rls/rls_pdu.cpp of the component Radio Link Simulation Layer. The manipulation of the argument pduLength leads to uncaught exception. The attack may be initiated remotely. Upgrading to version 3.2.8 is sufficient to fix this issue. The identifier of the patch is ca1a66fffe282767bb08618af9f848e3b68ea47b. It is suggested to upgrade the affected component. This behavior is related to CVE-2024-37877. The vendor was contacted early, responded in a very professional manner and quickly released a fixed version of the affected product.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-28 15:14 UTC
CWE
- CWE-248 - Uncaught Exception
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/359784 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/359784/cti | signaturepermissions-required |
| https://vuldb.com/submit/800026 | third-party-advisory |
| https://github.com/aligungr/UERANSIM/commit/ca1a6… | patch |
| https://github.com/aligungr/UERANSIM/releases/tag… | patch |
| https://github.com/aligungr/UERANSIM/ | product |
Impacted products
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"cve": "CVE-2026-7183",
"id": "CVE-2026-7183",
"initial_release_date": "2026-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "aligungr UERANSIM Radio Link Simulation Layer rls_pdu.cpp DecodeRlsMessage uncaught exception",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-7183.json",
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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.
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.
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