2522 matches found
GO-2026-5234 Gotenberg's ExifTool group-prefix syntax bypasses dangerous-tag blocklist in github.com/gotenberg/gotenberg
Gotenberg's ExifTool group-prefix syntax bypasses dangerous-tag blocklist in github.com/gotenberg/gotenberg...
CVE-2026-56218
Capgo before 12.128.2 fails to strip EXIF metadata including GPS geolocation data from uploaded images, allowing information disclosure. Attackers can download uploaded images and extract precise latitude and longitude coordinates revealing user physical location at capture time...
CVE-2026-56218 Capgo - EXIF Metadata Exposure via Image Upload
Capgo before 12.128.2 fails to strip EXIF metadata including GPS geolocation data from uploaded images, allowing information disclosure. Attackers can download uploaded images and extract precise latitude and longitude coordinates revealing user physical location at capture time...
CVE-2026-56218
Capgo before 12.128.2 fails to strip EXIF metadata including GPS geolocation data from uploaded images, allowing information disclosure. Attackers can download uploaded images and extract precise latitude and longitude coordinates revealing user physical location at capture time...
CVE-2026-56218 Capgo - EXIF Metadata Exposure via Image Upload
Capgo before 12.128.2 fails to strip EXIF metadata including GPS geolocation data from uploaded images, allowing information disclosure. Attackers can download uploaded images and extract precise latitude and longitude coordinates revealing user physical location at capture time...
CVE-2026-56218
Capgo before 12.128.2 fails to strip EXIF metadata including GPS geolocation data from uploaded images, allowing information disclosure. Attackers can download uploaded images and extract precise latitude and longitude coordinates revealing user physical location at capture time...
CVE-2026-56218: Exposure of Sensitive Information to an Unauthorized Actor
Capgo before 12.128.2 fails to strip EXIF metadata including GPS geolocation data from uploaded images, allowing information disclosure. Attackers can download uploaded images and extract precise latitude and longitude coordinates revealing user physical location at capture time...
Duplicate Advisory: image EXIF Rotation & PNG tRNS Transparency Not Normalized, Causing Mismatch Between Model Input and Expectations
Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-8jr5-v98p-w75m. This link is maintained to preserve external references. Original Description A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from...
GHSA-8JR5-V98P-W75M vLLM: image EXIF Rotation & PNG tRNS Transparency Not Normalized, Causing Mismatch Between Model Input and Expectations
Summary Issue 1: EXIF orientation not normalized → The image orientation processed by the model differs from how humans view it, introducing interpretation bias. Issue 2: PNG tRNS not explicitly flattened before converting to RGB → After conversion, transparent/semi-transparent pixels are rendere...
Interpretation Conflict
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Interpretation Conflict in the image processing pipeline. An attacker can cause the model to interpret images differently from human expectations by...
vLLM: image EXIF Rotation & PNG tRNS Transparency Not Normalized, Causing Mismatch Between Model Input and Expectations
Summary Issue 1: EXIF orientation not normalized → The image orientation processed by the model differs from how humans view it, introducing interpretation bias. Issue 2: PNG tRNS not explicitly flattened before converting to RGB → After conversion, transparent/semi-transparent pixels are rendere...
CVE-2026-12491
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...
CVE-2026-12491 Vllm: vllm: image exif rotation & png trns transparency not normalized, causing mismatch between model input and expectations
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...
CVE-2026-12491
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...
CVE-2026-12491 Vllm: vllm: image exif rotation & png trns transparency not normalized, causing mismatch between model input and expectations
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...
CVE-2026-12491 Vllm: vllm: image exif rotation & png trns transparency not normalized, causing mismatch between model input and expectations
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...
CVE-2026-12491
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...
CVE-2026-12491
CVE-2026-12491 affects the vLLM library used for LLM inference. The issue stems from improper handling of image metadata during image processing, specifically EXIF orientation and PNG transparency (tRNS). When converting images to RGB, transparency information may be discarded or remapped, causin...
CVE-2026-12491
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...
CVE-2026-12491: Misinterpretation of Input
A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency tRNS data, during image processing. When images are converted to RGB, transparency informatio...