CVE-2023-2975 Details
Issue summary: The AES-SIV cipher implementation contains a bug that causes
it to ignore empty associated data entries which are unauthenticated as
a consequence.

Impact summary: Applications that use the AES-SIV algorithm and want to
authenticate empty data entries as associated data can be mislead by removing
adding or reordering such empty entries as these are ignored by the OpenSSL
implementation. We are currently unaware of any such applications.

The AES-SIV algorithm allows for authentication of multiple associated
data entries along with the encryption. To authenticate empty data the
application has to call EVP_EncryptUpdate() (or EVP_CipherUpdate()) with
NULL pointer as the output buffer and 0 as the input buffer length.
The AES-SIV implementation in OpenSSL just returns success for such a call
instead of performing the associated data authentication operation.
The empty data thus will not be authenticated.

As this issue does not affect non-empty associated data authentication and
we expect it to be rare for an application to use empty associated data
entries this is qualified as Low severity issue.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2023-2975
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.18 Probability of exploitation activity being observed over the next 30 days (41th percentile)
CVSS score for CVE-2023-2975
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
5.3 Medium
Products affected by CVE-2023-2975
OpenSSL 3.0.5
OpenSSL 3.0.7
OpenSSL 3.0.8
OpenSSL 3.0.9
OpenSSL 3.1.0
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
More on DVE scores

CVE-2023-2975 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 8,100 31.16%
JP 5,049 19.42%
DE 1,729 6.65%
IN 1,242 4.78%
KR 1,050 4.04%
GB 711 2.74%
FR 690 2.65%
SG 671 2.58%
IE 606 2.33%
RU 519 2.00%

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CVE-2023-2975 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 18,395 84.90%
Telecommunications 2,092 9.66%
Education 544 2.51%
Government/Politics 158 0.73%
Business Services 107 0.49%
Finance 73 0.34%
Utilities 49 0.23%
Healthcare/Wellness 33 0.15%
Manufacturing 31 0.14%
Food Production 29 0.13%

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