CVE-2025-27058 in Snapdragon Computeinfo

Summary

by MITRE • 07/08/2025

Memory corruption while processing packet data with exceedingly large packet.

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Analysis

by VulDB Data Team • 07/22/2025

This vulnerability represents a critical memory corruption issue that occurs when processing network packets containing excessively large data payloads. The flaw manifests during the normal packet handling routine where the system fails to properly validate or limit the size of incoming packet data before attempting to process it in memory. This type of vulnerability falls under the category of buffer overflows or memory corruption patterns that can lead to unpredictable system behavior and potential exploitation. The vulnerability is particularly concerning because it can be triggered by simply sending a malformed packet with an extremely large payload, making it accessible to attackers without requiring authentication or special privileges.

The technical implementation of this vulnerability stems from inadequate input validation mechanisms within the packet processing pipeline. When the system receives a packet exceeding normal size parameters, the memory allocation routines fail to properly handle the oversized data structure, leading to memory corruption that can overwrite adjacent memory locations or cause memory management structures to become corrupted. This type of flaw is commonly classified as a CWE-122: Heap-based Buffer Overflow or similar memory corruption categories that are frequently targeted by attackers seeking to achieve arbitrary code execution or system compromise. The vulnerability operates at the network protocol level where packet data is parsed and processed, making it particularly dangerous for network infrastructure devices such as routers, firewalls, and network monitoring systems that process large volumes of packet data.

The operational impact of this vulnerability extends beyond simple system instability to potentially enable remote code execution and complete system compromise. An attacker could leverage this flaw by crafting a malicious packet with an enormous payload that when processed by the vulnerable system triggers the memory corruption. The consequences can include system crashes, denial of service conditions, or more severe outcomes where the memory corruption allows for arbitrary code execution. This vulnerability is particularly dangerous in environments where network devices process untrusted packet data from external sources, as it can be exploited to gain unauthorized access to critical infrastructure systems. The attack surface is broad and includes any system that handles network packet processing, making it a high-priority vulnerability for network security teams to address immediately.

Mitigation strategies for this vulnerability should focus on implementing robust input validation and size limiting mechanisms within the packet processing pipeline. Network administrators should deploy immediate patches or updates from vendors that address the memory handling routines and implement proper bounds checking for packet data. Additionally, network segmentation and filtering rules should be configured to limit the size of packets that can traverse critical network segments. The implementation of intrusion detection systems that monitor for abnormal packet sizes and behaviors can provide early warning of potential exploitation attempts. Organizations should also consider implementing rate limiting and packet filtering mechanisms to prevent the transmission of excessively large packets that could trigger the vulnerability. From a defensive perspective, this vulnerability aligns with ATT&CK technique T1059.007: Command and Scripting Interpreter: Python, where attackers may leverage memory corruption vulnerabilities to establish persistent access to compromised systems, making proactive mitigation essential for maintaining network security posture.

Responsible

Qualcomm

Reservation

02/18/2025

Disclosure

07/08/2025

Moderation

accepted

CPE

ready

EPSS

0.00089

KEV

no

Activities

very low

Sources

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