Skip to content
Log inStart free trial

GHSA-c7gp-2pch-qh2v CVE-2017-12604 PYSEC-2026-2815 PYSEC-2026-706

Out-of-bounds Write in OpenCV

High PyPI
Severity
8.8 / 10
High · CVSS 3.0
Exploit chance (EPSS)
1.99%
Chance of exploitation in the next 30 days. Higher than 80.60% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-787 Out-of-bounds Write
Fix
Available
2 packages have a fixed version

Description

OpenCV (Open Source Computer Vision Library) through 3.3 (corresponding to OpenCV-Python and OpenCV-Contrib-Python 3.3.0.9) has an out-of-bounds write error in the FillUniColor function in utils.cpp when reading an image file by using cv::imread.

Affected versions

PyPI

PackageVulnerableFixed in
opencv-contrib-python
< 3.3.1.11
3.3.1.11
opencv-python
< 3.3.1.11
3.3.1.11

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

opencv-contrib-python PyPI → 3.3.1.11

pip
pip install --upgrade "opencv-contrib-python>=3.3.1.11"
poetry
poetry add "opencv-contrib-python>=3.3.1.11"
uv
uv add "opencv-contrib-python>=3.3.1.11"

opencv-python PyPI → 3.3.1.11

pip
pip install --upgrade "opencv-python>=3.3.1.11"
poetry
poetry add "opencv-python>=3.3.1.11"
uv
uv add "opencv-python>=3.3.1.11"

Severity breakdown

CVSS 3.0 8.8

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Weakness

CWE-787: Out-of-bounds Write

The product writes data past the end, or before the beginning, of the intended buffer.

How to prevent it
  • Requirements: Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer. Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
  • Architecture and Design: Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
  • Operation, Build and Compilation: Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking. D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
  • Implementation: Consider adhering to the following rules when allocating and managing an application's memory: Double check that the buffer is as large as specified. When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string. Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space. If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
  • Operation, Build and Compilation: Run or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code. Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking. For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].
  • Operation: Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment. For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
  • Implementation: Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.

References

Advisories

Packages

Other links

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
PYSEC-2023-183
opencv-python versions before v4.8.1.78 bundled libwebp binaries in wheels that are vulnerable to CVE-2023-4863.
High Known exploited Also affects opencv-python
PYSEC-2023-181
opencv-contrib-python versions before v4.8.1.78 bundled libwebp binaries in wheels that are vulnerable to CVE-2023-4863.
High Known exploited Also affects opencv-contrib-python
GHSA-qr4w-53vh-m672
opencv-python bundled libwebp binaries in wheels that are vulnerable to CVE-2023-4863
High Also affects opencv-python
GHSA-cxjf-x6jp-p7mc
opencv-contrib-python bundled libwebp binaries in wheels that are vulnerable to CVE-2023-4863
High Also affects opencv-contrib-python
GHSA-9g8h-pjm4-q92p
Out-of-bounds Write in OpenCV.
Medium Also affects opencv-contrib-python
GHSA-q799-q27x-vp7w
Out-of-bounds Write in OpenCV
High Also affects opencv-contrib-python
GHSA-m6vm-8g8v-xfjh
Out-of-bounds Write in OpenCV
High Also affects opencv-contrib-python
GHSA-jggw-2q6g-c3m6
Out-of-bounds Read in OpenCV
Medium Also affects opencv-contrib-python
Is this in your code?

MergeHarbor checks every repository's dependencies against this database, ranks what matters by exploitability and reachability, routes it to the owning team and opens the fix pull request.

Check your repos with MergeHarbor