CVE-2023-1258
Published: 31 March 2023
Summary
CVE-2023-1258 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Abb Flow-X\/M Firmware. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 5.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2023-1258 is an Exposure of Sensitive Information to an Unauthorized Actor vulnerability, also categorized under CWE-200, that affects ABB Flow-X firmware versions prior to 4.0 running on Flow-X embedded hardware, specifically the web service modules. The flaw carries a CVSS 3.1 base score of 5.3 and permits footprinting by exposing limited sensitive data to remote, unauthenticated actors.
An attacker with network access to the affected web service modules can retrieve information without credentials or user interaction, enabling reconnaissance that could support further targeting of the device or connected industrial systems.
Public references include an ABB advisory and firmware update package hosted at search.abb.com along with a detailed information-disclosure artifact published on PacketStorm, indicating that the vendor directs customers to upgrade to version 4.0 or later to address the exposure. The associated EPSS score has remained flat at 0.1318 with no material rise after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-23527
Vulnerability details
Exposure of Sensitive Information to an Unauthorized Actor vulnerability in ABB Flow-X firmware on Flow-X embedded hardware (web service modules) allows Footprinting.This issue affects Flow-X: before 4.0.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.