Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2019-16225

9.8 · CRITICAL
Published Sep 11, 2019 py-lmdb_project CWE-787 EPSS 1.81% (77th pctl)

Overview

CVE-2019-16225 is a critical-severity vulnerability affecting py-lmdb_project py-lmdb. It was published on September 11, 2019 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

An issue was discovered in py-lmdb 0.97. For certain values of mp_flags, mdb_page_touch does not properly set up mc->mc_pg[mc->top], leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.

Remediation

Check the references section for vendor advisories and patches from py-lmdb_project. Update py-lmdb 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
py-lmdb_project py-lmdb 0 Affected

Frequently Asked Questions

What is CVE-2019-16225?

CVE-2019-16225 is a critical-severity vulnerability affecting py-lmdb_project py-lmdb. It was published on September 11, 2019 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

How severe is CVE-2019-16225?

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2019-16225?

Check the references section for vendor advisories and patches from py-lmdb_project. Update py-lmdb 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-2019-16225?

CyberStrike's AI-powered security agents can automatically detect CVE-2019-16225 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.