GHSA-m43c-649m-pm48 CVE-2017-1000450 PYSEC-2026-2825 PYSEC-2026-712

Integer Overflow or Wraparound in OpenCV.

High PyPI

Severity: 8.8 / 10; High · CVSS 3.0
Exploit chance (EPSS): 3.26%; Chance of exploitation in the next 30 days. Higher than 88.38% of scored vulnerabilities.
Known exploited: No; Not in CISA's catalog
Weakness: CWE-190 Integer Overflow or Wraparound
Fix: Available; 2 packages have a fixed version

Description

In opencv/modules/imgcodecs/src/utils.cpp, functions FillUniColor and FillUniGray do not check the input length, which can lead to integer overflow. If the image is from remote, may lead to remote code execution or denial of service. This affects Opencv 3.3 (corresponding with OpenCV-Python 3.3.0.9) and earlier.

Affected versions

PyPI

Package	Vulnerable	Fixed 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-190: Integer Overflow or Wraparound

The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.

How to prevent it

Requirements: Ensure that all protocols are strictly defined, such that all out-of-bounds behavior can be identified simply, and require strict conformance to the protocol.
Requirements: Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. If possible, choose a language or compiler that performs automatic bounds checking.
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 [REF-1482]. Use libraries or frameworks that make it easier to handle numbers without unexpected consequences. Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++). [REF-106]
Implementation: Perform input validation on any numeric input by ensuring that it is within the expected range. Enforce that the input meets both the minimum and maximum requirements for the expected range. Use unsigned integers where possible. This makes it easier to perform validation for integer overflows. When signed integers are required, ensure that the range check includes minimum values as well as maximum values.
Implementation: Understand the programming language's underlying representation and how it interacts with numeric calculation (CWE-681). Pay close attention to byte size discrepancies, precision, signed/unsigned distinctions, truncation, conversion and casting between types, "not-a-number" calculations, and how the language handles numbers that are too large or too small for its underlying representation. [REF-7] Also be careful to account for 32-bit, 64-bit, and other potential differences that may affect the numeric representation.
Architecture and Design: For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Implementation: Examine compiler warnings closely and eliminate problems with potential security implications, such as signed / unsigned mismatch in memory operations, or use of uninitialized variables. Even if the weakness is rarely exploitable, a single failure may lead to the compromise of the entire system.

References

Advisories

Packages

Timeline

Oct 12, 2021 Published
Sep 10, 2026 Last updated by the source
Nov 1, 2026 Latest EPSS score

Advisory	Severity	Why 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

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