| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| openssl_encrypt (pip: openssl-encrypt) versions 1.4.8 and earlier fail to validate the 36-bit STREAMINFO total_samples field of FLAC files before using it to size an allocation (np.random.randint(size=(total_samples, channels))). A ~50-byte crafted FLAC file declaring ~100 million samples causes a multi-gigabyte memory allocation, leading to out-of-memory denial of service during 'decrypt --stego-extract'. The issue is fixed in 1.4.9; both the 1.4.x and 1.5.x lines are affected. |
| In Bouncy Castle for Java before 1.85, DTLS handshake reassembler allocates buffer from unchecked 24-bit length. This issue also affects Bouncy Castle for Java LTS before 2.73.12, and Bouncy Castle for Java FIPS (BC-FJA) before bctls-fips 1.0.24 (1.0.X series), 2.0.24 (2.0.X series) and 2.1.24 (2.1.X series). |
| In Bouncy Castle for Java before 1.85, Possible OOM from unbounded up-front allocation on a definite-length read. This issue also affects Bouncy Castle for Java LTS before 2.73.12, and Bouncy Castle for Java FIPS (BC-FJA) before bc-fips 1.0.2.7 (1.0.X series), 2.0.2 (2.0.X series) and 2.1.3 (2.1.X series), and before bctls-fips 1.0.24. |
| In Bouncy Castle for Java before 1.85, MLS wire decoder allocates attacker-declared opaque length before bounds check. |
| In Bouncy Castle for Java before 1.85, BKS/UBER keystore allocates from untrusted lengths before integrity check. This issue also affects Bouncy Castle for Java LTS before 2.73.12. |
| kin-openapi is a Go project for handling OpenAPI files. From 0.124.0 until 0.142.0, openapi3filter.sliceMapToSlice in openapi3filter/req_resp_decoder.go converts attacker-controlled sparse indexes from a deepObject query parameter into a dense slice by allocating entries from zero through the largest supplied index, after which buildResObj creates another slice of the same length. This allocation occurs before schema validation, so maxItems does not prevent it. An unauthenticated client can send a small query such as param[items][50000000]=x to an endpoint whose deepObject schema contains an array, forcing multi-gigabyte heap allocation and causing an OOM kill or restart loop. Other request-body encodings and styled parameters that do not produce bracketed integer indexes are not affected. This issue is fixed in version 0.142.0. |
| Wazuh is a free and open source platform used for threat prevention, detection, and response. From 3.9.0 until 4.14.5 and 5.0.0-beta2, the Wazuh cluster protocol in framework/wazuh/core/cluster/common.py allows an authenticated cluster node to exhaust memory on the master. The receive_str() method accepts an attacker-controlled total for InBuffer without a maximum, so a new_str command can request a multi-gigabyte bytearray and repeated requests accumulate in in_str. The divided-message path also retains flag_divided fragments under unique counters in div_msg_box without a count, aggregate-size, or expiration limit. Exploitation can disrupt agent connectivity and alert processing across the monitored environment. This issue is fixed in versions 4.14.5 and 5.0.0-beta2. |
| A flaw was found in Wildfly. A remote unauthenticated attacker can trigger OutOfMemoryError as CSIv2Util's GSS token decoder reads an attacker-controlled length field without bounds checking and attempts to allocate a byte array of that size. |
| The RabbitMQ Java client library allows Java and JVM-based applications to connect to and interact with RabbitMQ nodes. Prior to 5.33.1, src/main/java/com/rabbitmq/client/impl/ValueReader.java uses ValueReader.readBytes to accept a wire-declared contentLength below Integer.MAX_VALUE and allocate a byte array before checking the bytes available in the frame. A malicious AMQP peer can send a LongString or byte-array field with type tag S and a declared length such as 0x7FFFFFFE during the pre-authentication connection.start server-properties table, causing an approximately 2 GB allocation and OutOfMemoryError before readFully consumes data. The resulting memory exhaustion can terminate the JVM and cause denial of service. This issue is fixed in version 5.33.1. |
| Uncontrolled memory allocation in the binary Ion stream cursor in Amazon ion-java before 1.12.0 might allow remote actors to cause a denial of service via a crafted Ion binary document containing a declared-length field that causes excessive heap preallocation.
To remediate this issue, users should upgrade to version 1.12.0. |
| SurrealDB versions before 2.2.2 contain a memory exhaustion vulnerability in the string::replace function that fails to restrict resulting string length when using regex patterns. An authenticated attacker can craft a malicious query to exhaust server memory through unbounded string allocations, causing denial of service. |
| Memory Allocation with Excessive Size Value vulnerability in Apache HTTP Server's mod_http leads to denial of service via malicious HTTP requests.
This issue affects Apache HTTP Server: from 2.4.17 through 2.4.67. |
| An issue was discovered in Django 5.2 before 5.2.17 and 6.0 before 6.0.8.
`django.utils.translation.check_for_language()` is subject to a potential denial-of-service attack when given many distinct, very long language codes, which are retained as keys in an in-memory cache and consume process memory. Such codes reach the function through the `django.views.i18n.set_language()` view, which is not routed by default. The consumed memory is bounded, since request data is limited by the `DATA_UPLOAD_MAX_MEMORY_SIZE` setting (default 2.5 MB) and the cache holds a fixed maximum number of entries.
Earlier, unsupported Django series (such as 5.1.x, 5.0.x, and 4.2.x) were not evaluated and may also be affected.
Django would like to thank Jaeyoung Jang for reporting this issue. |
| VP8L decoding in golang.org/x/image/vp8l can allocate an excessive amount of memory when processing a crafted VP8L image containing many unused Huffman tree groups. This allows a remote attacker to cause a denial of service via memory exhaustion. |
| SnailJob 1.7.0 contains a denial of service vulnerability in the FuryUtil.deserialize helper that allows authenticated attackers to crash the server by supplying a crafted Zstandard-compressed payload with an inflated frame_content_size field in the frame header. Attackers can store a base64-encoded Zstandard payload declaring an arbitrarily large decompressed size in a retry task argument, causing the JVM to attempt an unbounded array allocation and triggering an unrecoverable java.lang.OutOfMemoryError when the task is dispatched through the retry-task pipeline. |
| Net::CIDR::Set versions before 0.23 for Perl allow memory exhaustion and malformed set ranges via unbounded IPv6 prefix lengths.
The _encode method accepts any prefix length matching `(0|[1-9][0-9]*)` and passes it to _width2bits(), which builds the mask as `'1' x ($width + 8)`, one character per bit. The _inc() method then unpacks the packed mask into a Perl array of one scalar per byte, so the prefix length alone sets the allocation size: `::/100000000` builds a 100 MB string and a 12.5 million element array. The value being tested is parsed, not just the configured ranges: contains() builds a set from its argument, and _guess_coder() tries the IPv4 coder and then the IPv6 coder, so an IPv4-only set expands an oversized IPv6 prefix length before the mixed address width check rejects it.
Any caller that passes untrusted input to contains() or add() can exhaust process memory. A prefix length above 128 is also stored as a range that does not match the requested block: 2001:db8::/129 stringifies back unchanged, contains() of its own base address returns false, and removing it from a set drops the base address while the set still prints as covering it. |
| Improper validation of length fields in the Apache IoTDB RPC service may allow a remote unauthenticated attacker to cause a denial of service. By sending a crafted malformed Thrift frame, an attacker can cause IoTDB to allocate an excessive amount of memory and crash with an OutOfMemoryError.
This issue affects Apache IoTDB: before 1.3.8, from 2.0.0 before 2.0.9.
Users are recommended to upgrade to version 2.0.10, which fixes the issue. |
| Velociraptor's NTFS parsing library mishandles several out of bound and memory exhaustion bugs which may be triggered by maliciously crafted NTFS images.
Typically Velociraptor's NTFS parser is used on live NTFS filesystems, limiting the opportunity of attackers corrupting the filesystem. However, in some applications (e.g. dead disk forensics https://docs.velociraptor.app/docs/forensic/deaddisk/ ) Velociraptor may be used on untrusted NTFS image files.
If an attacker is able to inject maliciously corrupted NTFS Volumes they can cause a crash and a Denial of Service. |
| A flaw was found in iperf3. A remote unauthenticated attacker can exploit a vulnerability in the `JSON_read()` function, which accepts a peer-controlled message length and allocates memory without an upper bound. This allows the attacker to trigger excessive memory consumption, leading to a Denial of Service (DoS) through memory exhaustion, severe slowdown, or termination of the iperf3 service. |
| GNU cpio is vulnerable to an uncontrolled memory allocation in the make_path function at src/makepath.c. The function uses alloca to allocate stack memory based on the length of argpath, which is derived from an archive-controlled pathname during extraction. A malicious cpio archive containing a sufficiently long nested pathname causes an unbounded stack allocation, resulting in a stack overflow and crash of the cpio process. An attacker who can supply a crafted cpio archive to a victim who extracts it can cause a denial of service.
This issue has been fixed in commit 3cd514031371d8aeeaf2048aa10103e02831aaa9 |
