External risk intelligence

Image library allows attackers to crash services or steal data

CVE advisorySeverity: CRITICAL (CVSS 9.3)

CVE-2020-37239

The Libbabl image processing library contains a security flaw that allows an external attacker to gain unauthorized control of a system by providing a malicious file. This could lead to a complete compromise of the host, putting sensitive business data at risk.

3Halo Surface Signal

External exposure likelihood

Halo Surface Signal score for CVE-2020-37239

The vulnerability resides in a library used by applications to process image data. While the library is not a standalone network service, it is often embedded in web-facing applications that process user-supplied media files. Its reachability depends on the deployment of the host application, making internet exposure possible in many common configurations.

Horizon Alert

Summary of the vulnerability and why it matters

This issue in the `libbabl` library allows attackers to bypass memory safety checks, potentially leading to code execution. This happens because the library incorrectly handles memory that has already been freed.

  • Allows attackers to bypass security.
  • Can lead to code execution.
  • Affects applications processing images.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by sending specially crafted image data to an application that uses libbabl. This malicious data would trigger a double free in the library, allowing the attacker to corrupt memory and potentially achieve arbitrary code execution on the affected system. This attack requires no authentication and is accessible over the network.

  • Target: Image processing applications.
  • Action: Sending malicious image data.
  • Precondition: Application uses libbabl 0.1.62.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability involves a double free detection bypass in libbabl, which could allow attackers to achieve memory corruption and potentially code execution. While the core issue is technical, its exploitation depends heavily on how libbabl is integrated into larger applications. Publicly available exploit code suggests it is technically feasible, but widespread weaponization is not yet observed.

  • Exploit code is publicly available.
  • Vulnerability is in a library, not a service.

Priority actions

Operational Fix

Recommended remediation, mitigation, and detection steps

Prioritize patching or upgrading libbabl to address the broken double free vulnerability, which could allow for memory corruption and code execution. If immediate patching is not feasible, implement strict input validation and sandboxing for any application component that utilizes libbabl to process untrusted data. This approach aims to contain the risk by preventing malicious input from reaching the vulnerable code path.

  • Patch or upgrade libbabl.
  • Isolate or sandbox services using libbabl.
  • Monitor for anomalous memory access.

Frequently asked questions

What is libbabl and how is it used in image processing?

libbabl is a fundamental library enabling applications to efficiently process and manipulate image data. It supports a wide array of image formats and facilitates complex color transformations, serving as a versatile tool for graphics software.

What is the specific weakness in CVE-2020-37239, a broken double free detection vulnerability?

CVE-2020-37239 describes a flaw where libbabl fails to detect when it attempts to free the same memory region twice. This issue, identified as CWE-415 (Multiple Free), can lead to memory corruption, potentially allowing attackers to gain control of program execution.

How could an attacker exploit the CVE-2020-37239 vulnerability in libbabl?

An attacker could exploit this by sending specially crafted image data to an application that uses libbabl version 0.1.62. This malicious input would trigger a double free condition, corrupting memory and potentially enabling arbitrary code execution.

What is the relevance of the libbabl double free vulnerability and its potential impact?

This vulnerability in libbabl (CVE-2020-37239) poses a critical risk, allowing attackers to bypass memory safety checks. Successful exploitation can lead to memory corruption and arbitrary code execution, impacting the confidentiality, integrity, and availability of affected systems.

What are the recommended steps to mitigate the risks associated with the libbabl vulnerability?

To address this vulnerability, it is crucial to patch or upgrade libbabl to a secure version. If immediate patching is not possible, implementing strict input validation and sandboxing for applications processing untrusted data with libbabl can help contain the risk by preventing malicious inputs from reaching the vulnerable code.

References