| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| LibreDWG is a free C library to read and write DWG files. Prior to 0.14, a specially crafted R13-R2000 DWG can trigger algorithmic resource exhaustion in `decode_R13_R2000` in `src/decode.c`. The class-decoding loop performs `realloc` on every iteration without a sanity check on `num_classes`. Manipulating that field forces an extremely slow allocation loop and denial of service when the file is parsed. Running the parser in a sandbox with memory limits is a workaround rather than a remediation. This issue is fixed in version 0.14. |
| Crass is a Ruby CSS parser that's fully compliant with the CSS Syntax Level 3 specification. Prior to 1.0.7, Crass converts `CSS scientific notation` number values with unbounded exponentiation before clamping the result to `Float::MAX`. Applications that use Crass to parse attacker-controlled CSS strings can be forced to spend disproportionate CPU and memory parsing a tiny input, potentially resulting in a crash. This issue is fixed in version 1.0.7. |
| Bitcoin Core through 31.1 is vulnerable to Denial of Service via undo files having no size limit |
| Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, _unpack_2bit() and _unpack_4bit() resize unpacked arrays according to attacker-controlled TensorProto.dims without verifying that raw_data or int32_data encodes the declared number of elements. Materializing an untrusted UINT2, INT2, UINT4, INT4, or FLOAT4E2M1 tensor through onnx.numpy_helper.to_array() or onnx.reference.ReferenceEvaluator can therefore expand a small packed payload into a disproportionately large allocation and exhaust memory. This issue is fixed in version 1.22.0. |
| Bitcoin Core prior to 29.5, 30.4, 31.2 and 32.1 is vulnerable to an OOM issue. |
| MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.11, when CLIENT_SESSION_TRACK was negotiated, the OkPacket.parse() and OkPacket.parseWithInfo() paths allocated byte arrays using server-declared lengths for the OK packet info field and session-state variable names and values before confirming that the bytes remained in the packet. A malicious or compromised server, or a machine-in-the-middle attacker, could send a small OK packet declaring a much larger length and repeatedly force attacker-controlled heap allocations before the subsequent copy failed. This could create garbage-collection pressure or an OutOfMemoryError in the client application. This issue is fixed in versions 3.3.7, 3.4.5, and 3.5.11. |
| MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.11, the MariaDbPoolConnection.recover() and MariaDbPoolPinnedConnection.recover() implementations trusted the gtrid_length and bqual_length columns returned by XA RECOVER. The methods allocated and split Xid byte arrays without validating the lengths against Xid.MAXGTRIDSIZE, Xid.MAXBQUALSIZE, or the actual data payload. A malicious or compromised server, or a machine-in-the-middle attacker, could cause large allocations, NegativeArraySizeException, or ArrayIndexOutOfBoundsException during XA recovery. This issue is fixed in versions 3.3.7, 3.4.5, and 3.5.11. |
| MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7 and 3.4.5, during caching_sha2_password authentication, the authentication-more-data response was treated as a length-encoded byte array, memory was allocated from the server-declared length, and authResult[0] was accessed without ensuring a byte existed. A malicious or compromised server, or a machine-in-the-middle attacker, could declare a very large length or send an empty response before any password was transmitted. The malformed packet could cause excessive allocation or an unchecked ArrayIndexOutOfBoundsException escaping from DriverManager.getConnection(). This issue is fixed in versions 3.3.7 and 3.4.5. |
| Starlet versions before 0.33 for Perl allow a request declaring a large Content-Length to kill a worker by exhausting memory.
The request body is read in a loop that asks sysread for all of the remaining declared length at once. Perl grows the read buffer to that size before any data arrives, so a length larger than available memory makes the worker exit with an uncatchable out of memory error before the application is called.
A remote attacker can force a worker restart with each request of a few bytes. |
| zip is a zip library for Rust that supports reading and writing simple ZIP files. From 5.1.0 until 9.0.0, applications built with the legacy-zip feature can reserve output capacity from an attacker-controlled ZIP64 uncompressed size before validating the compressed stream. The ShrinkDecoder path in src/legacy/shrink.rs can panic with a capacity overflow during ZipArchive::extract, and the Reduce and Implode decoders contain the same unbounded preallocation pattern. An unhandled panic can terminate an archive-processing service. This issue is fixed in version 9.0.0. |
| The RTMP AMF parser in Apache bRPC accepts AMF string lengths and array counts directly from untrusted input. A remote unauthenticated attacker who can reach a bRPC server with RTMP enabled can send a small AMF payload with an excessive declared long string length or array count, causing excessive memory allocation or resource consumption before the parser rejects the incomplete payload.
Root Cause:
The AMF long string parser resized the destination string to the declared 32-bit length before validating that the stream contained that many bytes. ECMA array and strict array parsers also accepted 32-bit element counts without a configurable upper bound.
Affected Scenarios:
Deployments that enable the bRPC RTMP server component and accept RTMP traffic from untrusted clients. Direct uses of the AMF parser on untrusted data are also affected.
How to Fix:
1. Upgrade bRPC to version 1.18.0, which fixes this issue.
2. Apply this patch: https://github.com/apache/brpc/pull/3353
Note:
The fix introduces configurable AMF parsing limits. The default maximum string size is 64 MiB and the default maximum array element count is 1,048,576. Payloads above these limits are rejected. The limits can be adjusted with amf_max_string_size and amf_max_array_size. |
| A weakness has been identified in nschloe meshio up to 5.3.5. Impacted is an unknown function of the file meshio/_vtk_42.py of the component VTK Reader. Executing a manipulation of the argument DIMENSIONS can lead to uncontrolled memory allocation. The attack can be executed remotely. The project was informed of the problem early through an issue report but has not responded yet. |
| Several Kafka deserialization paths read a size or count field from input data and use it directly to allocate an array, collection, or byte buffer, with no check against the bytes actually available. A small crafted input can therefore declare a very large size and force a multi-gigabyte allocation. The affected paths are, in Kafka Streams, ProcessorRecordContext (header count), ChangedDeserializer (varint value length), CombinedKeySchema (foreign-key length, which could also produce a negative size), ProcessorMetadata (key length), and AssignmentInfo group-assignment decoding; and, in the clients library, ListDeserializer (used by ListSerde).
Impact:
An attacker can trigger the oversized allocation and raise an OutOfMemoryError that crashes the affected consumer or Kafka Streams thread; the broker and the rest of the cluster are unaffected. The reachable surface depends on the path: writing a crafted record to a Streams application's internal changelog or repartition topics, or committing crafted offset metadata to its consumer group (Streams internal paths); writing a crafted record to any topic that a consumer reads with ListSerde (ListDeserializer); or, as a member of a Streams consumer group, returning crafted assignment data when elected leader (AssignmentInfo). Because a crafted record remains in its topic, the error can recur on restart. The record size limit (max.message.bytes) does not help, because the allocation is driven by a size field rather than by the input's length.
Mitigation:
Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Where authorization is enabled, restrict write access to each application's internal topics and consumer group to its own principal, and restrict who can produce to topics that are consumed with ListSerde.
Resolution:
From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: these deserialization paths validate the declared size against the remaining input before allocating and reject input that fails the check. |
| Apache Kafka's code-generated protocol readers pre-size an array's collection from the element count declared by the sender. That count is checked only against the bytes remaining in the request buffer, which assumes about one byte per element; because most elements need several bytes, a request can declare far more elements than the buffer holds and still pass. For a keyed array the reader then allocates an ImplicitLinkedHashCollection of capacity (2 * count +1), so a request of a few tens of megabytes can force a heap allocation several times larger before any element is read. The pattern is emitted into every generated reader, so it affects all Kafka API types with an array field.
Impact:
Request parsing happens before any authorization check. On a listener that does not require authentication (for example PLAINTEXT), an unauthenticated attacker can send a few concurrent requests that each declare a very large=
array length and allocate many times their wire size in broker heap, crashing the broker with an OutOfMemoryError. The reporter demonstrated three concurrent ~90 MB ProduceRequest (v3) connections exhausting a 1 GB heap (~8x amplification). On listeners that require authentication, the attacker needs valid credentials but no specific ACL, since parsing precedes authorization..
Mitigation:
Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Until then, lowering socket.request.max.bytes and restricting network access to broker listeners reduces, but does not remove, exposure.
Resolution:
From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: generated readers cap the initial array pre-allocation at MessageUtil.MAX_PREALLOCATED_ARRAY_CAPACITY (1000) and grow it on demand, and reject a declared array length above MessageUtil.MAX_ARRAY_LENGTH (1,000,000). |
| When a broker decodes a compressed record batch, the per-record decoder reads a declared body size from the decompressed stream and allocates a buffer of that size before validating it against the bytes available or any configured limit. The size is attacker-controlled, and the batch CRC does not constrain it, so a small (around 90-byte), CRC-valid compressed produce request can declare a body size of up to about 2 GiB and force the broker to attempt that allocation, raising OutOfMemoryError. The record size limit (max.message.bytes), the request size limit, and client/broker quotas bound only the compressed wire size, not the declared decompressed size.
Impact:
An authenticated principal with Write on a topic can crash broker request-handler threads (reached when a batch's codec differs from the topic's compression.type and records are re-encoded) and any consumer that fetches the record, denying service. On brokers started with -XX:+ExitOnOutOfMemoryError, a common hardening, a single crafted request terminates the broker JVM. More seriously, a crafted record is accepted at ingest and written to disk; when the log-cleaner later reads it on a compacted topic, the OutOfMemoryError (an Error, not an Exception) terminates the cleaner thread, which is not restarted. With the default of a single cleaner thread, log compaction then stops for the entire broker, including the internal __consumer_offsets and __transaction_state topics, and the condition persists across restarts until the offending record is removed. The impact is availability only; no data is disclosed or altered.
Mitigation:
Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0, and set max.decompressed.message.bytes (at the broker and/or topic level) to a bounded value appropriate for your workload. Upgrading alone is not sufficient: for backward compatibility this configuration defaults to an effectively unlimited value (about 2 GiB), so a broker remains exposed until the limit is set. Choose a value at or slightly above the largest legitimate decompressed record your applications produce, and comfortably below the broker heap divided by the number of request-handler and cleaner threads. Until you can upgrade and configure the limit, restrict Write access to trusted producers; quotas and max.message.bytes do not mitigate this issue.
Resolution:
From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the broker validates a record's declared decompressed body size against max.decompressed.message.bytes before allocating, on the produce-validation, log-compaction, and timestamp-lookup paths, and rejects oversized or negative sizes with InvalidRecordException. Operators must set this configuration to a bounded value to be protected, as its default is effectively unlimited. |
| PhpSpreadsheet is a pure PHP library for reading and writing spreadsheet files. Prior to 1.30.7, 2.1.19, 2.4.8, 3.10.8, and 5.10.0, Ods::processTableRow in src/PhpSpreadsheet/Reader/Ods.php accepts an unbounded table:number-rows-repeated attribute from an ODS table row. When the row contains a value, the reader materializes a cell for every repetition without checking the spreadsheet row limit, so a small attacker-controlled ODS file can consume substantial CPU and memory and terminate the PHP worker. Column repetition is separately bounded and is not part of this vulnerability. This issue is fixed in versions 1.30.7, 2.1.19, 2.4.8, 3.10.8, and 5.10.0. |
| Memory allocation with excessive size value in the MQTT 3.1.1 compatibility adapter in AWS aws-c-mqtt before 0.16.2 might allow a remote actor to cause a denial of service of the client application.
To remediate this issue, users should upgrade to aws-c-mqtt 0.16.2 or later, or to an AWS Common Runtime or AWS IoT Device SDK release that bundles it. |
| A security vulnerability has been detected in nipy nibabel up to 5.4.2. The affected element is the function array_from_file of the file nibabel/volumeutils.py of the component Header Handler. The manipulation leads to uncontrolled memory allocation. The attack is possible to be carried out remotely. The pull request to fix this issue awaits acceptance. |
| **UNSUPPORTED WHEN ASSIGNED** Unbounded allocation in XML parsing in Apache Vysper; all versions, may lead to an out of memory condition.
This issue affects all versions of Apache Vysper. Apache Vysper is an XMPP (Jabber) server library.
As this project is retired, we do not plan to release a version that fixes this issue. Users are recommended to find an alternative. |
| PostgreSQL Anonymizer's range-based dummy functions dont constraint the range size. This vulnerability can be exploited to exhaust the memory of a backend and OOM-kill it (when ovecommit is on), which results in a cluster-wide crash recovery. The problem is resolved in PostgreSQL Anonymizer 3.3.0 and later versions. |
