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CareCam Pro IP Cameras

CISA Advisoriesby CISA ()2 min read1 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

CISA advisory details hard-coded bootloader credential CVE-2026-85083 in ANJIA AJL33PC0801 CareCam Pro cameras, allowing physical-access firmware compromise.

CISA ICS advisory ICSA-26-251-01 describes CVE-2026-85083, a hard-coded credential (CWE-798) used for bootloader authentication in the ANJIA AJL33PC0801 CareCam Pro IP camera. An attacker with physical access could gain privileged bootloader access and modify firmware and configuration, potentially fully compromising the device. The flaw scores 6.8 on CVSS 3.1 (7.0 on CVSS 4.0), is not remotely exploitable, and no public exploitation has been reported. Affected firmware is linux_linux_202008261138_svn13796 with U-Boot 2010.06; the vendor is headquartered in China with worldwide deployments.

Key facts
  • Hard-coded credential (CWE-798) grants privileged bootloader access to anyone with physical device access.
  • Could enable firmware and configuration modification, potentially resulting in complete device compromise.
  • CVSS 3.1 score 6.8; not remotely exploitable and no known public exploitation reported.
  • CISA recommends minimizing network exposure and using secure remote access methods.
Analyze CVE-2026-85083 with Vani AIImpact, affected versions, exploitation, mitigations and detection

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2026-85083
Hard-Coded Bootloader Credential in ANJIA AJL33PC0801 IP Camera
7.0—

From the original article

2 min read at cisa.gov

View CSAF Summary Successful exploitation of this vulnerability could allow an attacker to take full control of the device. The following versions of CareCam Pro IP Cameras are affected: ANJIA AJL33PC0801 Firmware linux_linux_202008261138_svn13796_/_Bootloader_U-Boot_2010. 06_compiled_2020-08-26 (CVE-2026-85083) CVSS Vendor Equipment Vulnerabilities v3 6.

CISA Advisories

By CISA · cisa.gov

Read the full article at CISA Advisories

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.