Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2024-55605 is a high-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Oisf Suricata. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked at the 48th 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 SC-5 (Denial-of-service Protection) and SC-6 (Resource Availability) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2024-55605 is a stack overflow vulnerability in Suricata, an open-source network Intrusion Detection System (IDS), Intrusion Prevention System (IPS), and Network Security Monitoring (NSM) engine. The flaw affects versions prior to 7.0.8 and occurs when a large input buffer is processed by specific transform functions, including to_lowercase, to_uppercase, strip_whitespace, compress_whitespace, dotprefix, header_lowercase, strip_pseudo_headers, url_decode, or xor transform. This triggers uncontrolled resource consumption (CWE-400), leading to a crash. The vulnerability carries a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H), rated as High severity due to its impact on availability.
Attackers can exploit this vulnerability remotely over the network with low complexity and no privileges or user interaction required. By sending crafted network traffic containing oversized inputs to the affected transform functions, an unauthenticated adversary can cause Suricata to crash, resulting in a denial-of-service condition that disrupts IDS/IPS/NSM operations.
The official GitHub security advisory (GHSA-x2hr-33vp-w289) and Open Information Security Foundation Redmine issue 7229 confirm the issue has been addressed in Suricata version 7.0.8. Security practitioners should upgrade to 7.0.8 or later to mitigate the vulnerability.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-52823
Vulnerability Data
Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. Prior to 7.0.8, a large input buffer to the to_lowercase, to_uppercase, strip_whitespace, compress_whitespace, dotprefix, header_lowercase, strip_pseudo_headers, url_decode, or xor transform can lead to a stack…
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overflow causing Suricata to crash. The issue has been addressed in Suricata 7.0.8.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
SC-5 directly limits the effects of resource-exhaustion events that constitute uncontrolled consumption.
SC-6 enforces explicit allocation limits on resources, structurally preventing the weakness from occurring.
Process isolation confines resource consumption to separate domains, reducing blast radius without stopping the root flaw.
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.
Explicitly requires monitoring and maintaining resource capacity, directly addressing uncontrolled consumption to preserve availability.
Continuous monitoring of computing resources can detect resource exhaustion but does not itself enforce allocation limits.
Resilience mechanisms such as avoiding single points of failure indirectly reduce impact of resource exhaustion.
Hardened configuration baselines can include resource quotas and limits that constrain consumption.
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.
Resource-utilization monitoring and alerting on bottlenecks or overloads limits the impact of denial-of-service or resource-exhaustion attacks.
By continuously monitoring utilization, stress-testing peak loads, and maintaining documented plans to scale or throttle resources, the control directly limits an attacker’s ability to drive a system into uncontrolled resource exhaustion.
Pre-agreed severity-based prioritization and resource allocation during incident triage reduce the likelihood that an attacker-induced resource exhaustion will overwhelm the organization before corrective action is taken.
Business-continuity plans that include resource-management controls reduce the likelihood that an attacker can trigger uncontrolled resource consumption by forcing the system into a degraded or fallback state.
Defining RTOs and capacity requirements for ICT services during business-impact analysis forces organizations to provision sufficient resources and throttling mechanisms, reducing the likelihood that an attacker can induce denial-of-service through uncontrolled resource consumption.
Early notification of anomalous resource consumption or system malfunctions enables throttling or isolation before availability is lost.