Cyber Resilience

CVE-2023-3768

High

Published: 02 October 2023

Published
02 October 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 8.6 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H
EPSS Score 0.0006 18.1th percentile
Risk Priority 17 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-3768 is a high-severity Improper Input Validation (CWE-20) vulnerability in Ingeteam Ingepac Da3451 Firmware. Its CVSS base score is 8.6 (High).

Operationally, ranked at the 18.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Incorrect data input validation vulnerability, which could allow an attacker with access to the network to implement fuzzing techniques that would allow him to gain knowledge about specially crafted packets that would create a DoS condition through the MMS protocol…

more

when initiating communication, achieving a complete system reboot of the device and its services.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

ingeteam
ingepac da3451 firmware
all versions
ingeteam
ingepac ef md firmware
all versions
ingeteam
ingepac fc5066 firmware
all versions

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References