CVE-2021-0230

On Juniper Networks SRX Series devices with link aggregation (lag) configured, executing any operation that fetches Aggregated Ethernet (AE) interface statistics, including but not limited to SNMP GET requests, causes a slow kernel memory leak. If all the available memory is consumed, the traffic will be impacted and a reboot might be required. The following log can be seen if this issue happens. /kernel: rt_pfe_veto: Memory over consumed. Op 1 err 12, rtsm_id 0:-1, msg type 72 /kernel: rt_pfe_veto: free kmem_map memory = (20770816) curproc = kmd An administrator can use the following CLI command to monitor the status of memory consumption (ifstat bucket): user@device > show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 2588977 162708K - 19633958 «« user@device > show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 3021629 189749K - 22914415 «« This issue affects Juniper Networks Junos OS on SRX Series: 17.1 versions 17.1R3 and above prior to 17.3R3-S11; 17.4 versions prior to 17.4R3-S5; 18.2 versions prior to 18.2R3-S7, 18.2R3-S8; 18.3 versions prior to 18.3R3-S4; 18.4 versions prior to 18.4R2-S7, 18.4R3-S6; 19.1 versions prior to 19.1R3-S4; 19.2 versions prior to 19.2R1-S6; 19.3 versions prior to 19.3R3-S1; 19.4 versions prior to 19.4R3-S1; 20.1 versions prior to 20.1R2, 20.1R3; 20.2 versions prior to 20.2R2-S2, 20.2R3; 20.3 versions prior to 20.3R1-S2, 20.3R2. This issue does not affect Juniper Networks Junos OS prior to 17.1R3.

Weakness

The product does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory.

Affected Software

Potential Mitigations

• Choose a language or tool that provides automatic memory management, or makes manual memory management less error-prone.
• For example, glibc in Linux provides protection against free of invalid pointers.
• When using Xcode to target OS X or iOS, enable automatic reference counting (ARC) [REF-391].
• To help correctly and consistently manage memory when programming in C++, consider using a smart pointer class such as std::auto_ptr (defined by ISO/IEC ISO/IEC 14882:2003), std::shared_ptr and std::unique_ptr (specified by an upcoming revision of the C++ standard, informally referred to as C++ 1x), or equivalent solutions such as Boost.

References

• https://kb.juniper.net/JSA11125