CVE-2016-8757
3.3 · LOWOverview
CVE-2016-8757 is a low-severity vulnerability affecting huawei p9_firmware. It was published on April 2, 2017 and has a CVSS 3.0 base score of 3.3 (LOW).
This vulnerability has a CVSS 3.0 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
ION memory management module in Huawei P9 phones with software EVA-AL10C00B192 and earlier versions, EVA-DL10C00B192 and earlier versions, EVA-TL10C00B192 and earlier versions, EVA-CL10C00B192 and earlier versions allows attackers to obtain sensitive information from uninitialized memory.
Remediation
Check the references section for vendor advisories and patches from huawei. Update p9_firmware to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| huawei | p9_firmware | eva-al10 | Affected |
Frequently Asked Questions
What is CVE-2016-8757?
CVE-2016-8757 is a low-severity vulnerability affecting huawei p9_firmware. It was published on April 2, 2017 and has a CVSS 3.0 base score of 3.3 (LOW).
How severe is CVE-2016-8757?
This vulnerability has a CVSS 3.0 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2016-8757?
Check the references section for vendor advisories and patches from huawei. Update p9_firmware to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2016-8757?
CyberStrike's AI-powered security agents can automatically detect CVE-2016-8757 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
Related LOW CVEs from 2016
View all →The xrstor function in arch/x86/xstate.c in Xen 4.x does not properly handle writes to the hardware
The fpu_fxrstor function in arch/x86/i387.c in Xen 4.x does not properly handle writes to the hardwa
Unspecified vulnerability in GSKit on IBM MQ M2000 appliances before 8.0.0.4 allows remote attackers
Unspecified vulnerability in GSKit on IBM MQ M2000 appliances before 8.0.0.4 allows remote attackers
The portal in IBM Tealeaf Customer Experience before 8.7.1.8814, 8.8 before 8.8.0.9026, 9.0.0, 9.0.0
HP Insight Control server provisioning before 7.5.0 RabbitMQ allows remote attackers to obtain sensi
agent/Core/Controller/SendRequest.cpp in Phusion Passenger before 4.0.60 and 5.0.x before 5.0.22, wh
BIG-IP LTM, AAM, AFM, Analytics, APM, ASM, Link Controller, and PEM 12.0.0 before HF1, when the TCP
CRLF injection vulnerability in the on_req function in lib/handler/redirect.c in H2O before 1.6.2 an
NetApp Data ONTAP before 8.2.4P1, when 7-Mode and HTTP access are enabled, allows remote attackers t
CRLF injection vulnerability in the ui-blob handler in CGit before 0.12 allows remote attackers to i
CRLF injection vulnerability in the cgit_print_http_headers function in ui-shared.c in CGit before 0