- Description: An attacker uploads or provides a specially crafted image file that is small in size but expands to an extremely large size when decompressed by the
compressor
library's decompression module. The attacker aims to exhaust server resources by triggering excessive decompression.- Impact: Server overload, application slowdown, service unavailability for legitimate users, potential server crash due to memory exhaustion or disk space filling up.
- Affected Component: Decompression module within the
compressor
library, specifically image decoding functions. - Risk Severity: High
- Mitigation Strategies:
- Implement strict file size limits for uploaded images.
- Validate image dimensions before decompression to prevent excessively large images.
- Set resource limits (memory and CPU quotas) for the image processing service.
- Implement timeout mechanisms for decompression operations.
- Consider using streaming decompression if supported.
- Employ dedicated image processing services with DoS protection.
- Description: An attacker crafts a malicious image file that exploits buffer overflow or underflow vulnerabilities in the underlying image decoding or compression/decompression libraries used by
zetbaitsu/compressor
. By sending this malicious image for processing, the attacker could potentially overwrite memory and gain control of the server.- Impact: Remote code execution, server compromise, data breach, complete system takeover, loss of confidentiality, integrity, and availability.
- Affected Component: Underlying image processing libraries used by
compressor
(e.g., libraries for JPEG, PNG, GIF handling), and potentiallycompressor
's wrapper code if vulnerabilities exist there. - Risk Severity: Critical
- Mitigation Strategies:
- Crucially: Regularly update the
zetbaitsu/compressor
library and all its dependencies to the latest versions to patch known vulnerabilities. - Implement robust input validation to reject malformed or suspicious image files before processing.
- Consider using sandboxed environments or containerization for image processing to limit the impact of potential exploits.
- Employ static and dynamic analysis tools to scan the
compressor
library and its dependencies for vulnerabilities.
- Crucially: Regularly update the
Threat: Dependency Vulnerabilities
- Description: The
zetbaitsu/compressor
library relies on other Go packages and potentially external libraries. These dependencies might contain known security vulnerabilities. An attacker could exploit these vulnerabilities indirectly through thecompressor
library if the application uses vulnerable versions of dependencies.- Impact: Varies depending on the vulnerability in the dependency, but could range from information disclosure, denial of service, to remote code execution, potentially leading to server compromise.
- Affected Component: Dependencies of the
zetbaitsu/compressor
library, including both direct and transitive dependencies. - Risk Severity: High (depending on the specific vulnerability)
- Mitigation Strategies:
- Essential: Regularly scan project dependencies for known vulnerabilities using tools like
govulncheck
or similar dependency scanning tools. - Keep dependencies up-to-date by regularly updating the
go.mod
andgo.sum
files and rebuilding the application. - Carefully review dependency licenses and security policies before including them in the project.
- Implement Software Composition Analysis (SCA) as part of the development pipeline to continuously monitor dependencies for vulnerabilities.
- Essential: Regularly scan project dependencies for known vulnerabilities using tools like