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CVE-2025-1893 (GCVE-0-2025-1893)

Vulnerability from cvelistv5 – Published: 2025-03-04 00:00 – Updated: 2025-03-04 16:35
VLAI
Title
Open5GS AMF gmm-sm.c gmm_state_authentication denial of service
Summary
A vulnerability was found in Open5GS up to 2.7.2. It has been declared as problematic. Affected by this vulnerability is the function gmm_state_authentication of the file src/amf/gmm-sm.c of the component AMF. The manipulation leads to denial of service. The attack can be launched remotely. This vulnerability allows a single UE to crash the AMF, resulting in the complete loss of mobility and session management services and causing a network-wide outage. All registered UEs will lose connectivity, and new registrations will be blocked until the AMF is restarted, leading to a high availability impact. The exploit has been disclosed to the public and may be used. The patch is named e31e9965f00d9c744a7f728497cb4f3e97744ee8. It is recommended to apply a patch to fix this issue.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-04 16:35 UTC
CWE
Impacted products
Vendor Product Version CPE status
n/a Open5GS Affected: 2.7.0
Affected: 2.7.1
Affected: 2.7.2
Show details on NVD website

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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.

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  • 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.
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  • 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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Detection rules are retrieved from Rulezet.

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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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