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VulnerabilityPublished

CVE-2025-69986: LSC Indoor Camera · Stack-based Buffer Overflow

Source CVE Database V5

0

Not known to be exploited · CVSS 7.2 High.

Data as of 26 Oct 2026, 13:47 UTC

CVSS 3.1 base score
7.2High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 46% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

AI-suggested

To mitigate CVE-2025-69986, organizations should first verify if their LSC Indoor Cameras are running the vulnerable firmware version 7.6.32 and restrict network access to ONVIF services. Network segmentation should be implemented to isolate camera devices from critical network segments and limit exposure to untrusted networks, including the internet. Deploy firewall rules to block unauthorized access to ONVIF ports (typically TCP 80, 443, or 8899) from outside trusted networks. Monitor network traffic for anomalous SOAP requests with unusually long Protocol parameters or malformed ONVIF messages. Engage with the vendor to obtain firmware updates or patches addressing this vulnerability. If patches are unavailable, consider disabling ONVIF services if not required or replacing affected devices with more secure alternatives. Additionally, implement intrusion detection systems (IDS) capable of detecting buffer overflow attempts targeting ONVIF services. Regularly audit device configurations and maintain an inventory of IoT devices to ensure timely response to emerging vulnerabilities.

Description

A buffer overflow vulnerability exists in the ONVIF GetStreamUri function of LSC Indoor Camera V7.6.32. The application fails to validate the length of the Protocol parameter inside the Transport element. By sending a specially crafted SOAP request containing an oversized protocol string, an attacker can overflow the stack buffer, overwriting the return instruction pointer (RIP). This vulnerability allows for Denial of Service (DoS) via device crash or Remote Code Execution (RCE) in the context of the ONVIF service.

References

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