Cyber Resilience

CVE-2023-7248

Medium

Published: 15 March 2024

Published
15 March 2024
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.0 CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:N/I:L/A:L
EPSS Score 0.0003 8.1th percentile
Risk Priority 10 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-7248 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Opentext Vertica. Its CVSS base score is 5.0 (Medium).

Operationally, ranked at the 8.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Certain functionality in OpenText Vertica Management console might be prone to bypass via crafted requests. The vulnerability would affect one of Vertica’s authentication functionalities by allowing specially crafted requests and sequences. This issue impacts the following Vertica Management Console versions:…

more

10.x 11.1.1-24 or lower 12.0.4-18 or lower Please upgrade to one of the following Vertica Management Console versions: 10.x to upgrade to latest versions from below. 11.1.1-25 12.0.4-19 23.x 24.x

CWE(s)

Related Threats

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

Affected Assets

opentext
vertica
10.0.0-0 — 10.1.1-26 · 11.0.0-0 — 11.1.1-25 · 12.0.0-0 — 12.0.4-19

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