Cyber Resilience

CVE-2024-20316

Cisco Ios Xe 16.10.1 … 17.9.4a

Published
27 March 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 5.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:L/A:N
EPSS Score 0.0045 37th percentile
Risk Priority 46 floored blend · peak EPSS

Summary

CVE-2024-20316 is a medium-severity Detection of Error Condition Without Action (CWE-390) vulnerability in Cisco Ios Xe. Its CVSS base score is 5.8 (Medium).

Operationally, ranked at the 37th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A vulnerability in the data model interface (DMI) services of Cisco IOS XE Software could allow an unauthenticated, remote attacker to access resources that should have been protected by a configured IPv4 access control list (ACL). This vulnerability is due…

more

to improper handling of error conditions when a successfully authorized device administrator updates an IPv4 ACL using the NETCONF or RESTCONF protocol, and the update would reorder access control entries (ACEs) in the updated ACL. An attacker could exploit this vulnerability by accessing resources that should have been protected across an affected device.

CWE(s)

Related Threats

CVEs Like This One

CVE-2025-20202Same product: Cisco Ios Xe
CVE-2025-20198Same product: Cisco Ios Xe
CVE-2024-20464Same product: Cisco Ios Xe
CVE-2024-20437Same product: Cisco Ios Xe
CVE-2024-20467Same product: Cisco Ios Xe
CVE-2025-20214Same product: Cisco Ios Xe
CVE-2025-20338Same product: Cisco Ios Xe
CVE-2024-20434Same product: Cisco Ios Xe
CVE-2025-20221Same product: Cisco Ios Xe
CVE-2025-20186Same product: Cisco Ios Xe

Affected Assets

cisco
ios xe
16.10.1, 16.10.1a, 16.10.1b, 16.10.1e, 16.10.1s

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation will surface code paths that detect errors yet perform no subsequent action.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

DE.AE-08 mostly match
prevents

Declaring incidents when criteria are met forces action on detected errors; eliminating the weakness helps but does not define the criteria themselves.

RS.MA-02 mostly match
prevents

Triaging and validating reports compels follow-up on detections; removing the weakness supports but does not replace triage processes.

DE.AE-02 partial match
prevents

Analysis of detected events directly counters ignoring them, but does not guarantee every error condition is covered.

DE.CM-09 partial match
prevents

Monitoring produces detections, yet supplies no requirement to act on them.

PR.PS-04 partial match
prevents

Generating logs enables later action but does not enforce handling of each error condition.

RS.AN-03 partial match
prevents

Root-cause analysis of incidents requires acting on detected anomalies, though it applies after an incident is already declared.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing can uncover missing error handling, but does not ensure the weakness is eliminated in production code.

A.8.15 Logging partial match
finds

Logging captures error conditions but does not guarantee subsequent handling or remediation.

finds

Monitoring activities can detect errors, yet without defined response procedures the weakness persists.

prevents

Secure development lifecycle practices encourage proper error handling, but do not mandate it for every detected condition.

prevents

Secure coding standards typically require explicit error handling, reducing the likelihood of silent failures.

References