CVE-2024-47506
Juniper Junos ≤ 21.3
Raw vector
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:A/V:X/RE:M/U:XSummary
CVE-2024-47506 is a high-severity Deadlock (CWE-833) vulnerability in Juniper Junos. Its CVSS base score is 8.2 (High).
Operationally, ranked at the 21th 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) and SA-8 (Security and Privacy Engineering Principles) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-42509
Vulnerability Data
A Deadlock vulnerability in the packet forwarding engine (PFE) of Juniper Networks Junos OS on SRX Series allows an unauthenticated, network-based attacker to cause a Denial of Service (DoS). When a large amount of traffic is processed by ATP Cloud…
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inspection, a deadlock can occur which will result in a PFE crash and restart. Whether the crash occurs, depends on system internal timing that is outside the attackers control. This issue affects Junos OS on SRX Series: * All versions before 21.3R3-S1, * 21.4 versions before 21.4R3, * 22.1 versions before 22.1R2, * 22.2 versions before 22.2R1-S2, 22.2R2.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V15.4.3
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation activities can exercise concurrent paths and resource contention to discover deadlock conditions before deployment.
Security engineering principles applied during design can incorporate synchronization ordering, timeouts, and resource hierarchies that structurally avoid deadlock formation.
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.
Secure SDLC practices can include concurrency analysis and lock discipline to avoid deadlock conditions.
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.
Security testing in development can detect deadlock conditions through stress and concurrency testing.
Secure development lifecycle requires deadlock analysis and avoidance techniques during design and coding.
Secure system architecture principles include concurrency controls and resource-locking discipline that prevent deadlock.
Secure coding standards mandate safe lock ordering, timeouts, and deadlock detection patterns.
Change management may catch deadlock-related defects during reviews but does not directly address concurrency design.