CVE-2022-30320
Saia Burgess Controls (SBC) PCD S-Bus Weak Credential HashingScheme Break
Description
Saia Burgess Controls (SBC) PCD through 2022-05-06 uses a Broken or Risky Cryptographic Algorithm. According to FSCT-2022-0063, there is a Saia Burgess Controls (SBC) PCD S-Bus weak credential hashing scheme issue. The affected components are characterized as: S-Bus (5050/UDP) authentication. The potential impact is: Authentication bypass. The Saia Burgess Controls (SBC) PCD controllers utilize the S-Bus protocol (5050/UDP) for a variety of engineering purposes. It is possible to configure a password in order to restrict access to sensitive engineering functionality. Authentication is done by using the S-Bus 'write byte' message to a specific address and supplying a hashed version of the password. The hashing algorithm used is based on CRC-16 and as such not cryptographically secure. An insecure hashing algorithm is used. An attacker capable of passively observing traffic can intercept the hashed credentials and trivially find collisions allowing for authentication without having to bruteforce a keyspace defined by the actual strength of the password. This allows the attacker access to sensitive engineering functionality such as uploading/downloading control logic and manipulating controller configuration.
INFO
Published Date :
July 28, 2022, 4:15 p.m.
Last Modified :
Feb. 14, 2024, 4:10 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
1.4
Exploitability Score :
2.8
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2022-30320.
| URL | Resource |
|---|---|
| https://www.cisa.gov/uscert/ics/advisories/icsa-22-207-03 | Third Party Advisory US Government Resource |
| https://www.forescout.com/blog/ | Not Applicable Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-30320 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-30320 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Reanalysis by [email protected]
Feb. 14, 2024
Action Type Old Value New Value Changed Reference Type https://www.forescout.com/blog/ Third Party Advisory https://www.forescout.com/blog/ Not Applicable, Third Party Advisory -
Initial Analysis by [email protected]
Aug. 10, 2022
Action Type Old Value New Value Added CVSS V3.1 NIST AV:A/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N Changed Reference Type https://www.cisa.gov/uscert/ics/advisories/icsa-22-207-03 No Types Assigned https://www.cisa.gov/uscert/ics/advisories/icsa-22-207-03 Third Party Advisory, US Government Resource Changed Reference Type https://www.forescout.com/blog/ No Types Assigned https://www.forescout.com/blog/ Third Party Advisory Added CWE NIST CWE-327 Added CPE Configuration OR *cpe:2.3:a:honeywell:saia_pg5_controls_suite:-:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-30320 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2022-30320
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.04 }} -0.00%
score
0.10147
percentile