SUSE CVE-2026-59938

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

PT-2026-57305

Name of the Vulnerable Software and Affected Versions RabbitMQ versions prior to 4.2.6 Description The RabbitMQ stream listener fails to enforce the configured stream frame-size limit when assembling frames during authentication and before Tune negotiation. This allows an unauthenticated remote...

CVE-2026-39197

A flaw was found in Vector. A remote attacker could send a specially crafted compressed request to Vector's HTTP ingest sources, causing unbounded memory allocation during decompression and leading to a Denial of Service DoS. Mitigation Restrict network access to Vector's HTTP and gRPC ingest...

Linux Distros Unpatched Vulnerability : CVE-2026-59938

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large...

CVE-2026-58210

NATS Server is a high-performance server for NATS.io, the cloud and edge native messaging system. Prior to 2.14.3 and 2.12.12, an unauthenticated MQTT client could cause the server to retain large incomplete MQTT CONNECT packets before authentication completed, consuming server memory while the...

CVE-2026-58210

NATS Server is a high-performance server for NATS.io, the cloud and edge native messaging system. Prior to 2.14.3 and 2.12.12, an unauthenticated MQTT client could cause the server to retain large incomplete MQTT CONNECT packets before authentication completed, consuming server memory while the...

CVE-2026-59938

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

DEBIAN-CVE-2026-59938

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

CVE-2026-59938 pypdf: Possible large memory usage for wrong image dimensions

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

CVE-2026-59938 pypdf: Possible large memory usage for wrong image dimensions

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

CVE-2026-59938

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

CVE-2026-59938

CVE-2026-59938 affects the Python PDF library pypdf. Before version 6.14.0, an attacker can craft a PDF with image size values declared much larger than actual data, causing large memory usage during pypdf image parsing. Root cause: mismatch between declared image dimensions and image data in the...

CVE-2026-59938 pypdf: Possible large memory usage for wrong image dimensions

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

PT-2026-56560

Name of the Vulnerable Software and Affected Versions NATS Server versions prior to 2.14.3 NATS Server versions prior to 2.12.12 Description An unauthenticated MQTT client can cause the server to consume excessive memory by sending large incomplete MQTT CONNECT packets. The server retains these...

PT-2026-56528

Name of the Vulnerable Software and Affected Versions pypdf versions prior to 6.14.0 Description An attacker can craft a PDF file with declared image size values that are significantly larger than the actual data. This leads to excessive memory consumption during the image parsing process within...

CVE-2026-59938: Memory Allocation with Excessive Size Value

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

PYSEC-2026-1965 Hugging Face Text Generation Inference vulnerable to Uncontrolled Resource Consumption

A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET...

urllib3 allows an unbounded number of links in the decompression chain

Impacturllib3 supports chained HTTP encoding algorithms for response content according to RFC 9110 e.g., Content-Encoding: gzip, zstd.However, the number of links in the decompression chain was unbounded allowing a malicious server to insert a virtually unlimited number of compression steps leadi...

PYSEC-2026-1998 urllib3 allows an unbounded number of links in the decompression chain

Impact urllib3 supports chained HTTP encoding algorithms for response content according to RFC 9110 e.g., Content-Encoding: gzip, zstd. However, the number of links in the decompression chain was unbounded allowing a malicious server to insert a virtually unlimited number of compression steps...

markdownify allows large headline prefixes such as <h9999999>, which causes memory consumption

python-markdownify aka markdownify before 0.14.1 allows large headline prefixes such as in addition to through . This causes memory consumption...