| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| When reading an HTTP response from a server, if no read amount is specified, the default behavior will be to use Content-Length. This allows a malicious server to cause the client to read large amounts of data into memory, potentially causing OOM or other DoS. |
| Water-Melon Melon commit 9df9292 and below is vulnerable to Denial of Service. The HTTP component doesn't have any maximum length. As a result, an excessive request header could cause a denial of service by consuming RAM memory. |
| AdonisJS is a TypeScript-first web framework. Prior to versions 10.1.3 and 11.0.0-next.9, a denial of service (DoS) vulnerability exists in the multipart file handling logic of @adonisjs/bodyparser. When processing file uploads, the multipart parser may accumulate an unbounded amount of data in memory while attempting to detect file types, potentially leading to excessive memory consumption and process termination. This issue has been patched in versions 10.1.3 and 11.0.0-next.9. |
| nimiq/core-rs-albatross is a Rust implementation of the Nimiq Proof-of-Stake protocol based on the Albatross consensus algorithm. The `nimiq-network-libp2p` subcrate of nimiq/core-rs-albatross is vulnerable to a Denial of Service (DoS) attack due to uncontrolled memory allocation. Specifically, the implementation of the `Discovery` network message handling allocates a buffer based on a length value provided by the peer, without enforcing an upper bound. Since this length is a `u32`, a peer can trigger allocations of up to 4 GB, potentially leading to memory exhaustion and node crashes. As Discovery messages are regularly exchanged for peer discovery, this vulnerability can be exploited repeatedly. The patch for this vulnerability is formally released as part of v1.1.0. The patch implements a limit to the discovery message size of 1 MB and also resizes the message buffer size incrementally as the data is read. No known workarounds are available. |
| MessagePack for Java is a serializer implementation for Java. A denial-of-service vulnerability exists in versions prior to 0.9.11 when deserializing .msgpack files containing EXT32 objects with attacker-controlled payload lengths. While MessagePack-Java parses extension headers lazily, it later trusts the declared EXT payload length when materializing the extension data. When ExtensionValue.getData() is invoked, the library attempts to allocate a byte array of the declared length without enforcing any upper bound. A malicious .msgpack file of only a few bytes can therefore trigger unbounded heap allocation, resulting in JVM heap exhaustion, process termination, or service unavailability. This vulnerability is triggered during model loading / deserialization, making it a model format vulnerability suitable for remote exploitation. The vulnerability enables a remote denial-of-service attack against applications that deserialize untrusted .msgpack model files using MessagePack for Java. A specially crafted but syntactically valid .msgpack file containing an EXT32 object with an attacker-controlled, excessively large payload length can trigger unbounded memory allocation during deserialization. When the model file is loaded, the library trusts the declared length metadata and attempts to allocate a byte array of that size, leading to rapid heap exhaustion, excessive garbage collection, or immediate JVM termination with an OutOfMemoryError. The attack requires no malformed bytes, user interaction, or elevated privileges and can be exploited remotely in real-world environments such as model registries, inference services, CI/CD pipelines, and cloud-based model hosting platforms that accept or fetch .msgpack artifacts. Because the malicious file is extremely small yet valid, it can bypass basic validation and scanning mechanisms, resulting in complete service unavailability and potential cascading failures in production systems. Version 0.9.11 fixes the vulnerability. |
| ChatterBot is a machine learning, conversational dialog engine for creating chat bots. ChatterBot versions up to 1.2.10 are vulnerable to a denial-of-service condition caused by improper database session and connection pool management. Concurrent invocations of the get_response() method can exhaust the underlying SQLAlchemy connection pool, resulting in persistent service unavailability and requiring a manual restart to recover. Version 1.2.11 fixes the issue. |
| 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. |
| An issue was discovered in libarchive bsdtar before version 3.8.1 in function apply_substitution in file tar/subst.c when processing crafted -s substitution rules. This can cause unbounded memory allocation and lead to denial of service (Out-of-Memory crash). |
| IBM Common Cryptographic Architecture (CCA) 7.0.0 through 7.5.36 could allow a remote user to cause a denial of service due to incorrect data handling for certain types of AES operations. IBM X-Force ID: 270602. |
| An issue in KiloView Dual Channel 4k HDMI & 3G-SDI HEVC Video Encoder Firmware v.1.20.0006 allows a remote attacker to cause a denial of service via the systemctrl API System/reFactory component. |
| If the value passed to os.path.expandvars() is user-controlled a
performance degradation is possible when expanding environment
variables. |
| 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. |
| 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. |
| 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. |
| A shape mismatch vulnerability in OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) via supplying crafted tensor shapes. |
| A dimension validation flaw in the flow.empty() component of OneFlow 0.9.0 allows attackers to cause a Denial of Service (DoS) via a negative or excessively large dimension value. |
| A type validation flaw in the flow.dstack() component of OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) via a crafted input. |
| A device-ID validation flaw in OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) by calling flow.cuda.synchronize() with an invalid or out-of-range GPU device index. |
| A GPU device-ID validation flaw in OneFlow v0.9.0 allows attackers to trigger a Denial of Dervice (DoS) by invoking flow.cuda.get_device_properties() with an invalid or negative device index. |
| A GPU device-ID validation flaw in the flow.cuda.get_device_capability() component of OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) via a crafted device ID. |
