CVE-2017-17296 in ARXXXXinfo

Summary

by MITRE

Huawei AR120-S V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR1200 V200R006C10, V200R006C13, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR1200-S V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR150 V200R006C10, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR150-S V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR160 V200R006C10, V200R006C12, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR200 V200R006C10, V200R007C00, V200R007C01, V200R008C20, V200R008C30, AR200-S V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR2200 V200R006C10, V200R006C13, V200R006C16, V200R007C00, V200R007C01, V200R007C02, V200R008C20, V200R008C30, AR2200-S V200R006C10, V200R007C00, V200R008C20, V200R008C30, AR3200 V200R006C10, V200R006C11, V200R007C00, V200R007C01, V200R007C02, V200R008C00, V200R008C10, V200R008C20, V200R008C30, AR3600 V200R006C10, V200R007C00, V200R007C01, V200R008C20, AR510 V200R006C10, V200R006C12, V200R006C13, V200R006C15, V200R006C16, V200R006C17, V200R007C00, V200R008C20, V200R008C30, DP300 V500R002C00, IPS Module V100R001C10, V100R001C30, V500R001C00, V500R001C20, V500R001C30, V500R001C50, NGFW Module V100R001C10, V100R001C20, V100R001C30, V500R001C00, V500R001C20, V500R002C00, V500R002C10, NIP6300 V500R001C00, V500R001C20, V500R001C30, V500R001C50, NIP6600 V500R001C00, V500R001C20, V500R001C30, V500R001C50, NIP6800 V500R001C50, NetEngine16EX V200R006C10, V200R007C00, V200R008C20, V200R008C30, RP200 V500R002C00, V600R006C00, RSE6500 V500R002C00, SRG1300 V200R006C10, V200R007C00, V200R007C02, V200R008C20, V200R008C30, SRG2300 V200R006C10, V200R007C00, V200R007C02, V200R008C20, V200R008C30, SRG3300 V200R006C10, V200R007C00, V200R008C20, V200R008C30, SVN5600 V200R003C00, V200R003C10, SVN5800 V200R003C10, SVN5800-C V200R003C00, V200R003C10, SeMG9811 V300R001C01, Secospace USG6300 V100R001C10, V100R001C20, V100R001C30, V500R001C00, V500R001C20, V500R001C30, V500R001C50, Secospace USG6500 V100R001C10, V100R001C20, V100R001C30, V500R001C00, V500R001C20, V500R001C30, V500R001C50, Secospace USG6600 V100R001C00, V100R001C10, V100R001C20, V100R001C30, V500R001C00, V500R001C20, V500R001C30, V500R001C50, TE30 V100R001C02, V100R001C10, V500R002C00, V600R006C00, TE40 V500R002C00, V600R006C00, TE50 V500R002C00, V600R006C00, TE60 V100R001C01, V100R001C10, V500R002C00, V600R006C00, TP3106 V100R002C00, TP3206 V100R002C00, V100R002C10, USG9500 V500R001C00, V500R001C20, V500R001C30, V500R001C50, USG9520 V300R001C01, V300R001C20, USG9560 V300R001C01, V300R001C20, USG9580 V300R001C01, V300R001C20, ViewPoint 9030 V100R011C02, V100R011C03, eSpace U1981 V200R003C20SPC900, V200R003C30SPC200 have a memory leak vulnerability. An unauthenticated, remote attacker may send specially crafted H323 packages to the affected products. Due to not release the allocated memory properly to handle the packets, successful exploit may cause memory leak and some services abnormal.

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Analysis

by VulDB Data Team • 02/08/2023

The vulnerability identified as CVE-2017-17296 affects a wide range of Huawei network equipment including routers, firewalls, and unified threat management devices across multiple product lines and software versions. This memory leak vulnerability stems from improper memory management within the H323 protocol handling mechanisms of these devices, which are commonly used for voice and video communication over IP networks. The flaw exists in the way the affected systems process incoming H323 packets, specifically failing to properly release allocated memory after processing, leading to gradual memory exhaustion over time.

The technical nature of this vulnerability places it squarely within CWE-401, which describes improper handling of memory allocation and deallocation. The attack vector is remote and unauthenticated, meaning that any attacker with network access can exploit this vulnerability without requiring prior authentication credentials. The exploitation process involves sending specially crafted H323 packets to the target device, which triggers the memory leak behavior. This type of vulnerability aligns with ATT&CK technique T1499.004, which involves network denial of service through resource exhaustion, and T1071.004, which covers application layer protocol usage including H323.

The operational impact of this vulnerability extends beyond simple service disruption to potentially compromising the overall stability and reliability of network infrastructure. As memory leaks accumulate over time, the affected devices may experience gradual performance degradation, system instability, and ultimately complete service outages. The memory exhaustion can affect critical network services such as routing, firewall operations, and security functions, potentially creating a cascade of failures that impact enterprise connectivity and communications. The vulnerability affects both wired and wireless network components, making it particularly dangerous for organizations relying on Huawei equipment for core network operations.

Mitigation strategies for CVE-2017-17296 should include immediate deployment of official Huawei security patches and firmware updates that address the memory management issues in the H323 protocol handler. Network administrators should also implement network segmentation and access controls to limit exposure to potentially malicious H323 traffic. Monitoring systems should be configured to detect unusual memory usage patterns and service disruptions that may indicate exploitation attempts. Additionally, organizations should consider implementing network traffic filtering rules to block or restrict H323 traffic at network boundaries where such traffic is not required for legitimate business operations. The vulnerability demonstrates the importance of proper memory management in embedded network systems and highlights the need for regular security assessments of network infrastructure components.

Reservation

12/04/2017

Disclosure

02/15/2018

Moderation

accepted

CPE

ready

EPSS

0.01285

KEV

no

Activities

very low

Sources

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