| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Vulnerability in the Oracle Solaris product of Oracle Systems (component: Filesystem). The supported version that is affected is 11.4. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle Solaris executes to compromise Oracle Solaris. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Solaris accessible data and unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Solaris. CVSS 3.1 Base Score 7.1 (Confidentiality and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H). |
| Impact:
The undici WebSocket client enforces maxPayloadSize per-frame but does not enforce the cumulative size of fragmented uncompressed messages. A malicious WebSocket server can stream many small fragments that each pass per-frame validation but collectively exceed the configured limit, causing unbounded memory growth in the client process. The result is memory exhaustion and a denial of service.
Affected applications are those using the undici WebSocket client (new WebSocket(...)) that can be induced to connect to an attacker-controlled or compromised WebSocket endpoint.
This is a regression specific to undici 8.1.0. The 6.25.0 line shipped the equivalent cumulative check from the start and is unaffected. The 7.x line never had the maxPayloadSize feature and is also unaffected.
Patches:
Upgrade to undici >= 8.5.0.
Workarounds:
No workaround is available. The fix must be applied through an upgrade. |
| A flaw in Node.js HTTP/2 server API can cause servers to keep accepting data even after sending a `GOAWAY` frame. This vulnerability affects two supported release lines: **Node.js 22** and **Node.js 24**. |
| markdown-it is a Markdown parser. Versions 14.1.1 and below contain a denial-of-service vulnerability when typographer: true is enabled, due to quadratic (O(n^2)) processing in the smartquotes rule. The issue stems from repeatedly modifying strings with replaceAt(), which performs O(n) slicing and concatenation per quote character. This can cause excessive CPU consumption when parsing quote-heavy, user-supplied markdown and may let attackers degrade or disrupt service availability. Although typographer is disabled by default, many production apps enable it for smart typography, making the issue relevant. This issue has been fixed in version 14.2.0. |
| joserfc is a Python library that provides an implementation of several JSON Object Signing and Encryption (JOSE) standards. In versions 1.3.4 through 1.6.5, joserfc accepts oversized RFC7797 b64=false JWS payloads without applying JWSRegistry.max_payload_length, which can lead to resource exhaustion. The normal JWS compact and flattened JSON paths reject payloads above the configured payload-size limit with ExceededSizeError. The RFC7797 unencoded payload paths do not make the same check. A valid b64=false compact or flattened JSON JWS can therefore deserialize successfully with a payload larger than JWSRegistry.max_payload_length. Applications that accept lower-trust JWS values and rely on joserfc to reject oversized token content during verification have a moderate availability risk. This issue has been fixed in version 1.6.7. |
| LiquidJS is a Shopify/GitHub Pages compatible template engine written in pure JavaScript. In versions 10.25.7 and below, the renderLimit option can be fully bypassed by a {% for %} (or {% tablerow %}) tag whose body is empty. The renderLimit option is documented in docs/source/tutorials/dos.md as the mechanism that "mitigates this by limiting the time consumed by each render() call." The per-iteration time check is reached only when the body contains at least one template node, so a template such as {%- for i in (1..N) -%}{%- endfor -%} iterates the full collection without ever consulting renderLimit. With a configured renderLimit of 50 ms, a single parseAndRenderSync call has been observed to consume 2.26 seconds (~45× over the limit) and scales linearly with N up to memoryLimit, allowing a low-privileged template author to wedge an event-loop thread for an attacker-chosen duration. Deployments that rely on a finite renderLimit for DoS protection (common in multi-tenant template-authoring environments) can still be forced by a single crafted template to monopolize a Node.js event-loop worker for attacker-controlled time, potentially stalling in-flight requests, with availability impact only. This issue has been fixed in version 10.26.0. |
| LiquidJS is a Shopify/GitHub Pages compatible template engine written in pure JavaScript. In versions 10.25.7 and below, the date filter's strftime implementation parses width specifiers like %9999999d and forwards the captured width unchecked into pad()/padStart(), leading to memory and render limit bypass. In src/util/underscore.ts, the pad loop performs unbounded string concatenation without consulting the Context's memoryLimit or renderLimit, so a single small template ({{ x | date: '%5000000d' }}) produces megabytes of output and unbounded CPU. The memoryLimit and renderLimit options the docs (src/liquid-options.ts:87-92) advertise as DoS controls — and which the docstring explicitly mentions for strftime — are entirely bypassed. Exploitation can cause large memory allocations, high CPU usage, or OOM crashes per render. This issue has been fixed in version 10.26.0. |
| Impact:
The undici WebSocket client enforces maxPayloadSize on the cumulative byte count of fragments in a message but does not enforce a limit on the number of fragments. A malicious WebSocket server can stream many small or empty continuation frames that each pass per-frame and cumulative-size validation, collectively causing unbounded memory growth in the client process. The result is memory exhaustion and a denial of service.
Affected applications are those using the undici WebSocket client (new WebSocket(...)) or the WebSocketStream API that can be induced to connect to an attacker-controlled or compromised WebSocket endpoint.
All releases starting at undici 6.17.0 are affected.
Patches: Upgrade to undici >= 6.26.0, >= 7.28.0, or >= 8.5.0. Workarounds:
No workaround is available. The fix must be applied through an upgrade. |
| AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, `StepThroughItemsBlock` can iterate all the contents in a list and send them to `FileStoreBlock` for downloading one by one. Although `FileStoreBlock` has access time limits for downloading files, `StepThroughItemsBlock` can be used to slowly iterate and download relatively small files (e.g., 100M) multiple times. `StepThroughItemsBlock` does not limit the number of loops. In addition, `FileStoreBlock` does not limit the amount of disk space consumed in the current working directory. When a malicious user chooses to download too many videos, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue. |
| AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, ScreenshotWebPageBlock will store the captured screenshots in a temporary directory. `StepThroughItemsBlock` can be used to iterate `ScreenshotWebPageBlock` multiple times. `StepThroughItemsBlock` does not limit the number of loops. In addition, `ScreenshotWebPageBlock` does not limit the amount of disk space consumed in the current working directory. When a malicious user chooses to screen shot many web pages, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue. |
| vantage6 is an open-source infrastructure for privacy preserving analysis. Prior to version 5.0.0, users can reset their MFA token via API routes that send them an email. Currently the number of emails that is sent is not limited. This gives attackers the option to flood someones mailbox with a lot of emails, and would have adverse effects on the SMTP server which may be seen as spam sender. Note resetting the MFA token requires a correct password, so the potential impact for this is very low. Version 5.0.0 fixes the issue. No known workarounds are available. |
| AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, AutoGPT's LoopVideoBLock allows users to input a video file and process the video, such as looping it 5 times or extending the time, and finally writing it to disk. However, there is no limit on the resources that can be allocated during execution. For example, the number of loops is user-controllable and unlimited. When a malicious attacker loops too many times, the generated video is too large, and after writing it to disk, the disk space is exhausted, eventually causing DoS. Version 0.6.63 patches the issue. |
| AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, `MediaDurationBlock` will download and store the video in a temporary directory without deleting before all noded are done. `StepThroughItemsBlock` can be used to iterate `MediaDurationBlock` multiple times. `StepThroughItemsBlock` does not limit the number of loops. In addition, `MediaDurationBlock ` does not limit the amount of disk space consumed in the current working directory and does not delete the video after outputing the result. When a malicious user chooses to screen shot many web pages, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue. |
| CometD is a scalable comet implementation for web messaging. In versions 5.0.0 through 5.0.22, 6.0.0 through 6.0.18, 7.0.0 through 7.0.18, and 8.0.0 through 8.0.8, bad clients that always send a fixed batch value when the server is using the acknowledgement extension may cause the unacknowledged message queue to grow indefinitely, eventually causing an `OutOfMemoryError`. Versions 5.0.23, 6.0.19, 7.0.19, and 8.0.9 patch the issue. As a workaround, disable the acknowledgement extension. |
| A denial of service vulnerability could be triggered by sending specially crafted HTTP requests to server function endpoints, this could lead to server crashes, out-of-memory exceptions or excessive CPU usage; affecting the following packages: react-server-dom-webpack, react-server-dom-parcel, react-server-dom-turbopack (versions 19.0.0 through 19.0.5, 19.1.0 through 19.1.6, and 19.2.0 through 19.2.5). |
| Multiple unauthenticated denial-of-service (DoS) issues in fohrloop dash-uploader v0.1.0 through v0.7.0a2. The chunked-upload handler (dash_uploader/httprequesthandler.py, dash_uploader/upload.py) trusts unsanitized, attacker-controlled upload parameters (e.g. flowTotalChunks) and does not enforce the documented max_file_size limit, allowing a remote, unauthenticated attacker to cause an out-of-memory (OOM) process crash (unbounded range(1, flowTotalChunks + 1) allocation), truncation of the target file to zero bytes (flowTotalChunks=0, where the all([]) == True quirk runs the file-assembly branch on zero chunks), permanent disk exhaustion (never-cleaned-up temporary directories per flowIdentifier), and a complete bypass of the documented max_file_size limit. |
| ASP.NET Core Kestrel in Microsoft .NET 8.0 before 8.0.22 and .NET 9.0 before 9.0.11 allows a remote attacker to cause excessive CPU consumption by sending a crafted QUIC packet, because of an incorrect exit condition for HTTP/3 Encoder/Decoder stream processing. |
| An input validation issue was addressed. This issue is fixed in iOS 18.3 and iPadOS 18.3, macOS Sequoia 15.3, macOS Sonoma 14.7.5, macOS Ventura 13.7.5, tvOS 18.3, visionOS 2.3. An attacker on the local network may be able to corrupt process memory. |
| This issue was addressed with improved memory handling. This issue is fixed in iOS 18.4 and iPadOS 18.4, iPadOS 17.7.6, macOS Sequoia 15.4, macOS Sonoma 14.7.5, macOS Ventura 13.7.5, tvOS 18.4, visionOS 2.4. Processing a maliciously crafted video file may lead to unexpected app termination or corrupt process memory. |
| The issue was addressed with improved memory handling. This issue is fixed in iOS 18.4 and iPadOS 18.4, iPadOS 17.7.6, macOS Sequoia 15.4, macOS Sonoma 14.7.5, macOS Ventura 13.7.5, tvOS 18.4, visionOS 2.4, watchOS 11.4. Processing a maliciously crafted video file may lead to unexpected app termination or corrupt process memory. |
