| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| pupnp is an SDK for development of UPnP device and control point applications. Prior to 2.0.2, Transfer-Encoding: chunked causes the HTTP parser in upnp/src/genlib/net/http/httpparser.c to leave parser->content_length at zero while parser_parse_chunky_entity and parser_parse_chunky_body accumulate decoded bytes in parser->msg.entity. The g_maxContentLength checks in http_RecvMessage in upnp/src/genlib/net/http/httpreadwrite.c therefore reject oversized numeric Content-Length bodies but do not enforce the same limit on decoded chunked bodies. A remote peer that can reach a SOAP, GENA, miniserver, or control-point HTTP response path can make the process buffer an entity larger than the configured maximum, causing resource exhaustion and denial of service. This issue is fixed in 2.0.2. |
| Vulnerability in the Helidon product of Oracle Fusion Middleware (component: helidon-webclient-websocket). Supported versions that are affected are 4.0.0-4.5.5 and 27.0.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Helidon. Successful attacks of this vulnerability can result in unauthorized read access to a subset of Helidon accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Helidon. CVSS 3.1 Base Score 6.5 (Confidentiality and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L). |
| A denial of service vulnerability exists when Microsoft Common Object Runtime Library improperly handles web requests. An attacker who successfully exploited this vulnerability could cause a denial of service against a .NET web application.
A remote unauthenticated attacker could exploit this vulnerability by issuing specially crafted requests to the .NET application.
The update addresses the vulnerability by correcting how the .NET web application handles web requests. |
| Moov signedxml is a pure Go library for processing signed XML documents. Prior to 1.4.1, ExclusiveCanonicalization in exclusivecanonicalization.go copies the complete accumulated namespace map at every nested element before reference digest or signature checks. Attacker-controlled XML containing deeply nested elements with many unused namespace declarations causes quadratic allocation growth with depth and linear growth with prefixes per level, allowing a comparatively small document to consume multiple gigabytes of memory and terminate the process. The condition is reachable through ValidateReferences without a valid signature, matching certificate, or prior authentication, and it does not bypass signature verification. This issue is fixed in version 1.4.1. |
| ApostropheCMS is an open-source Node.js content management system. Prior to 4.33.0 of ApostropheCMS and 3.7.0 of the import-export module, import routes invoke bigUploadMiddleware without an early authorize callback, allowing unauthenticated requests to perform upload initialization, chunk storage, temporary processing, and attacker-declared cleanup work before the later user check rejects the import. This issue is fixed in ApostropheCMS 4.33.0 and import-export 3.7.0. |
| Pillow is a Python imaging library. From 9.2.0 until 13.0.0, Pillow performs quadratic copying when saving a GIF with a long comment. _get_global_header() repeatedly copies portions of comment data while assembling the global header, including comments retained from an untrusted input image. An attacker can supply an image with a large GIF comment to an application that saves it as GIF. This can consume excessive CPU and delay or deny service. This issue is fixed in version 13.0.0. |
| In Eclipse Vert.x versions [4.0.0, 4.5.34] or [5.0.0,5.0.12] or [5.1.0,5.1.9] or [5.2.0, 5.2.0], the Vert.x Redis client RESP parser pre-allocates arrays to a length declared by the server without enforcing an upper bound. A malicious or compromised Redis server, or an attacker in a man-in-the-middle position, can send a crafted RESP response declaring an extremely large array, push, or attribute length, causing the client to attempt a massive heap allocation. The resulting OutOfMemoryError crashes the Vert.x event loop thread, denying service to all connections and verticles sharing that loop.
The impacted component is io.vertx:vertx-mysql-client. |
| In Eclipse Vert.x versions [4.0.0, 4.5.34] or [5.0.0,5.0.12] or [5.1.0,5.1.9] or [5.2.0, 5.2.0], the WebSocket implementation does not define a maximum number of bytes allocation when decompressing frames or messages. This can be used to implement DDOS attacks with a zip bomb.
The impacted component is io.vertx:vertx-core. |
| In Eclipse Vert.x versions [5.0.0,5.0.12] or [5.1.0,5.1.9] or [5.2.0, 5.2.0], the HTTP proxy provides a body transformer interceptor that relies on a max buffered bytes limit to ensure a bounded buffer for each request. This can be used to force a server to indefinitely allocate heap. This vulnerability requires to use an intercepting body transformer.
The impacted component is io.vertx:vertx-http-proxy. |
| In Eclipse Vert.x versions [4.0.0, 4.5.34] or [5.0.0,5.0.12] or [5.1.0,5.1.9] or [5.2.0, 5.2.0], the Eclipse Vert.x MQTT (vertx-mqtt) MqttClient stores every inbound QoS 2 PUBLISH message received from the broker in an internal map (qos2inbound) while awaiting the corresponding PUBREL packet to complete the QoS 2 handshake. This map has no size limit; the maxInflightQueue option is enforced only on the outbound publish path and does not constrain inbound message retention.
A malicious or compromised MQTT broker can exploit this by sending QoS 2 PUBLISH messages with distinct packet identifiers and withholding the PUBREL responses. Each incomplete handshake causes the client to retain the full publish message (topic, payload, and metadata) indefinitely, leading to unbounded memory growth in the Vert.x process. This can degrade the MQTT-consuming application or cause out-of-memory termination.
The impacted component is io.vertx:vertx-mqtt. |
| In Eclipse Vert.x versions [4.0.0, 4.5.34] or [5.0.0,5.0.12] or [5.1.0,5.1.9] or [5.2.0, 5.2.0], the PostgreSQL message decoder reads the 4-byte message length field from the PostgreSQL wire protocol without any maximum validation. A malicious, compromised, or man-in-the-middle PostgreSQL server can send a message header with the length field set to an extremely large value (up to Integer.MAX_VALUE), causing the decoder to accumulate subsequent TCP data into a composite buffer without bound, leading to unbounded memory allocation on the client and an out-of-memory crash. This occurs before authentication completes.
The impacted component is io.vertx:vertx-pg-client. |
| In Eclipse Vert.x versions [4.0.0, 4.5.34] or [5.0.0,5.0.12] or [5.1.0,5.1.9] or [5.2.0, 5.2.0], the MySQL message decoder aggregates inbound multi-packet payloads into a composite direct-memory buffer without any cumulative size limit. A malicious, compromised, or man-in-the-middle MySQL server can send a continuous stream of packets with the maximum payload length (0xFFFFFF), preventing the end-of-message condition from being reached, causing unbounded direct-memory allocation on the client and leading to an out-of-memory crash. This occurs before authentication completes.
The impacted component is io.vertx:vertx-mysql-client. |
| StreamReadConstraints.maxNameLength (default 50,000 characters) is intended to bound how much memory a single JSON Object property name can consume while being parsed, independently of the much larger maxStringLength (default 100,000,000 characters) that bounds ordinary string values. For parsers built over character input — Reader, String or char[] sources, all served by ReaderBasedJsonParser — that bound is not applied while the name is being accumulated. The code path instead re-uses the string-value length check, which is roughly 2000x larger by default.
In the character-input slow path, ReaderBasedJsonParser._parseName2() accumulates the name into the TextBuffer and, when a segment fills, calls TextBuffer.finishCurrentSegment(), which validates only maxStringLength. The correct check, StreamReadConstraints.validateNameLength(int), is reached afterwards in CharsToNameCanonicalizer.findSymbol(), once the entire name has been scanned to its closing quote. By that point the full name — up to maxStringLength characters — has already been buffered in memory.
A remote attacker who can have a single sufficiently long JSON Object property name parsed through this path can force allocation on the order of 100,000,000 characters (approximately 200 MB, with segment bookkeeping pushing real peak usage higher) before any StreamConstraintsException is thrown, instead of the approximately 50,000-character (about 100 KB) bound the API promises. Repeating this across concurrent requests can exhaust the heap and crash the process. No authentication or user interaction is required. Because StreamReadConstraints.maxDocumentLength is disabled by default (-1), nothing else bounds the token first, so the issue is exploitable under default configuration.
Byte-input parsers are not affected: UTF8StreamJsonParser, UTF8DataInputJsonParser and the non-blocking (async) parsers re-validate maxNameLength on every growth of the name-decode buffer via ParserBase._growNameDecodeBuffer(), rejecting an oversized name after allocating only tens of kilobytes. Applications are exposed when untrusted JSON is parsed from a String, Reader or char[] — for example an HTTP request body already read into a String — rather than from raw UTF-8 bytes.
This issue affects com.fasterxml.jackson.core:jackson-core from 2.16.0 and tools.jackson.core:jackson-core from 3.0.0. Releases before 2.16.0 are not affected, because StreamReadConstraints.maxNameLength was first introduced in jackson-core 2.16.0. |
| Allocation of resources without limits in the parsing components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to cause a denial of service by delivering crafted input that triggers excessive resource consumption during the driver's parsing operations.
To remediate this issue, users should upgrade to version 2.1.0.0. |
| IBM MQ 9.4.5.0 through 9.4.5.1 could allow an authenticated user to cause a denial of service by sending a specially crafted message that crashes consuming applications. |
| Pillow is a Python imaging library. From 5.4.0 until 13.0.0, Pillow performs quadratic copying while parsing GIF comments. GifImageFile._seek() repeatedly appends immutable bytes for comment sub-blocks and multiple comment extensions, and frame zero is parsed during Image.open(). An attacker can submit a small-dimension GIF containing many comment extensions to any application that opens the file. This can consume excessive CPU and deny service before the application can inspect the image. This issue is fixed in version 13.0.0. |
| Pillow is a Python imaging library. From 5.1.0 until 13.0.0, Pillow's PdfParser.get_value() can recurse without a limit while reading nested PDF objects. The parser follows attacker-controlled arrays and dictionaries when an existing PDF is opened for append. An attacker can provide a deeply nested PDF to an application that saves an image with PDF append enabled. This can raise an uncaught RecursionError or terminate the worker, causing denial of service. This issue is fixed in version 13.0.0. |
| AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. From 2.0.0 until 3.14.4, multipart request processing can retain an unbounded number of open file descriptors. An unauthenticated attacker can consequently exhaust file descriptors with specially crafted multipart requests when a handler uses Request.post(). This issue is fixed in version 3.14.4. |
| A malicious, compromised, or MITM-controlled Exchange server can return a single well-formed SOAP response containing an element with enough attributes to keep Thunderbird's main thread CPU-bound for seconds to hours. This vulnerability was fixed in Thunderbird 158 and Thunderbird 153.5. |
| Pillow is a Python imaging library. From 5.1.0 until 13.0.0, Pillow takes quadratic time to reserve PDF object identifiers when saving many frames with save_all enabled. PdfParser.next_object_id() repeatedly rebuilds and scans all previously reserved identifiers for every object. An attacker can supply a multi-frame image, including a small APNG with a large declared frame count, to an application that converts it to a multipage PDF. This can consume excessive CPU and deny service. This issue is fixed in version 13.0.0. |
