Uncontrolled Resource Consumption

An authenticated user with high privileges may trigger a denial‑of‑service condition in TP-Link Archer BE230 v1.2 by restoring a crafted configuration file containing an excessively long parameter. Restoring such a file can cause the device to become unresponsive, requiring a reboot to restore normal operation. This issue affects Archer BE230 v1.2 < 1.2.4 Build 20251218 rel.70420.Show less

An issue was discovered in Samsung Mobile Processor, Wearable Processor and Modem Exynos 980, 990, 850, 1080, 9110, W920, W930, W1000 and Modem 5123. Incorrect handling of NAS Registration messages leads to a Denial of Service because of Improper Handling of Exceptional Conditions.Show less

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 request, reading the entire response body into memory and cloning it before decoding. This behavior can lead to resource exhaustion, including network bandwidth saturation, memory inflation, and CPU overutilization. The vulnerability is triggered even if the request is later rejected for exceeding token limits. The default deployment configuration, which lacks memory usage limits and authentication, exacerbates the impact, potentially crashing the host machine. The issue is resolved in version 3.3.7.Show less

A vulnerability in danny-avila/librechat allows attackers to exploit the unrestricted Fork Function in `/api/convos/fork` to fork numerous contents rapidly. If the forked content includes a Mermaid graph with a large number of nodes, it can lead to a JavaScript heap out of memory error upon service restart, causing a denial of service. This issue affects the latest version of the product.Show less

The `SimpleDirectoryReader` component in `llama_index.core` version 0.12.23 suffers from uncontrolled memory consumption due to a resource management flaw. The vulnerability arises because the user-specified file limit (`num_files_limit`) is applied after all files in a directory are loaded into memory. This can lead to memory exhaustion and degraded performance, particularly in environments with limited resources. The issue is resolved in version 0.12.41.Show less

gmrtd is a Go library for reading Machine Readable Travel Documents (MRTDs). Prior to version 0.17.2, ReadFile accepts TLVs with lengths that can range up to 4GB, which can cause unconstrained resource consumption in both memory and cpu cycles. ReadFile can consume an extended TLV with lengths well outside what would be available in ICs. It can accept something all the way up to 4GB which would take too many iterations in 256 byte chunks, and would also try to allocate memory that might not be available in constrained environments like phones. Or if an API sends data to ReadFile, the same problem applies. The very small chunked read also locks the goroutine in accepting data for a very large number of iterations. projects using the gmrtd library to read files from NFCs can experience extreme slowdowns or memory consumption. A malicious NFC can just behave like the mock transceiver described above and by just sending dummy bytes as each chunk to be read, can make the receiving thread unresponsive and fill up memory on the host system. Version 0.17.2 patches the issue.Show less

Suricata is a network IDS, IPS and NSM engine. Prior to versions 8.0.3 and 7.0.14, specially crafted traffic can cause Suricata to consume large amounts of memory while parsing DNP3 traffic. This can lead to the process slowing down and running out of memory, potentially leading to it getting killed by the OOM killer. Versions 8.0.3 or 7.0.14 contain a patch. As a workaround, disable the DNP3 parser in the suricata yaml (disabled by default).Show less

Suricata is a network IDS, IPS and NSM engine. Prior to versions 8.0.3 and 7.0.14, crafted DCERPC traffic can cause Suricata to expand a buffer w/o limits, leading to memory exhaustion and the process getting killed. While reported for DCERPC over UDP, it is believed that DCERPC over TCP and SMB are also vulnerable. DCERPC/TCP in the default configuration should not be vulnerable as the default stream depth is limited to 1MiB. Versions 8.0.3 and 7.0.14 contain a patch. Some workarounds are available. For DCERPC/UDP, disable the parser. For DCERPC/TCP, the `stream.reassembly.depth` setting will limit the amount of data that can be buffered. For DCERPC/SMB, the `stream.reassembly.depth` can be used as well, but is set to unlimited by default. Imposing a limit here may lead to loss of visibility in SMB.Show less

A denial-of-service vulnerability exists in the NetX IPv6 component functionality of Eclipse ThreadX NetX Duo. A specially crafted network packet of "Packet Too Big" with more than 15 different source address can lead to denial of service. An attacker can send a malicious packet to trigger this vulnerability.Show less

Every uncached /avatar/:hash request spawns a goroutine that refreshes the Gravatar image. If the refresh sits in the 10-slot worker queue longer than three seconds, the handler times out and stops listening for the result, so that goroutine blocks forever trying to send on an unbuffered channel. Sustained traffic with random hashes keeps tripping this timeout, so goroutine count grows linearly, eventually exhausting memory and causing Grafana to crash on some systems.Show less

A denial of service vulnerability exists in Next.js versions with Partial Prerendering (PPR) enabled when running in minimal mode. The PPR resume endpoint accepts unauthenticated POST requests with the `Next-Resume: 1` header and processes attacker-controlled postponed state data. Two closely related vulnerabilities allow an attacker to crash the server process through memory exhaustion: 1. **Unbounded request body buffering**: The server buffers the entire POST request body into memory using `Buffer.concat()` without enforcing any size limit, allowing arbitrarily large payloads to exhaust available memory. 2. **Unbounded decompression (zipbomb)**: The resume data cache is decompressed using `inflateSync()` without limiting the decompressed output size. A small compressed payload can expand to hundreds of megabytes or gigabytes, causing memory exhaustion. Both attack vectors result in a fatal V8 out-of-memory error (`FATAL ERROR: Reached heap limit Allocation failed - JavaScript heap out of memory`) causing the Node.js process to terminate. The zipbomb variant is particularly dangerous as it can bypass reverse proxy request size limits while still causing large memory allocation on the server. To be affected you must have an application running with `experimental.ppr: true` or `cacheComponents: true` configured along with the NEXT_PRIVATE_MINIMAL_MODE=1 environment variable. Strongly consider upgrading to 15.6.0-canary.61 or 16.1.5 to reduce risk and prevent availability issues in Next applications.Show less

A denial of service vulnerability exists in self-hosted Next.js applications that have `remotePatterns` configured for the Image Optimizer. The image optimization endpoint (`/_next/image`) loads external images entirely into memory without enforcing a maximum size limit, allowing an attacker to cause out-of-memory conditions by requesting optimization of arbitrarily large images. This vulnerability requires that `remotePatterns` is configured to allow image optimization from external domains and that the attacker can serve or control a large image on an allowed domain. Strongly consider upgrading to 15.5.10 or 16.1.5 to reduce risk and prevent availability issues in Next applications.Show less