Cyber Resilience

CVE-2022-34350

Medium

Published: 08 February 2023

Published
08 February 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
EPSS Score 0.0039 60.4th percentile
Risk Priority 11 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-34350 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Ibm Api Connect. Its CVSS base score is 5.3 (Medium).

Operationally, ranked in the top 39.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

IBM API Connect 10.0.0.0 through 10.0.5.0, 10.0.1.0 through 10.0.1.7, and 2018.4.1.0 through 2018.4.1.20 is vulnerable to External Service Interaction attack, caused by improper validation of user-supplied input. A remote attacker could exploit this vulnerability to induce the application to perform…

more

server-side DNS lookups or HTTP requests to arbitrary domain names. By submitting suitable payloads, an attacker can cause the application server to attack other systems that it can interact with. IBM X-Force ID: 230264.

CWE(s)

Related Threats

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

Affected Assets

ibm
api connect
10.0.0.0 — 10.0.5.0 · 10.0.1.0 — 10.0.1.7 · 2018.4.1.0 — 2018.4.1.20

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