CVE-2025-50777 (GCVE-0-2025-50777)

Vulnerability from cvelistv5 – Published: 2025-07-30 00:00 – Updated: 2026-07-05 01:05
VLAI
Summary
The firmware of the AZIOT 2MP Full HD Smart Wi-Fi CCTV Home Security Camera (version V1.00.02) contains an Incorrect Access Control vulnerability that allows local attackers to gain root shell access. Once accessed, the device exposes critical data including Wi-Fi credentials and ONVIF service credentials stored in plaintext, enabling further compromise of the network and connected systems.
Severity
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-30 19:23 UTC
CWE
  • n/a
  • CWE-284 - Improper Access Control
  • CWE-312 - Cleartext Storage of Sensitive Information
Assigner
References
Show details on NVD website
To clipboard 

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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.

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.


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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.