Total
237 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-12852 | 1 Bouncycastle | 1 Bc-java | 2026-08-28 | N/A | 7.5 HIGH |
| In Bouncy Castle for Java before 1.85, MLS wire decoder allocates attacker-declared opaque length before bounds check. | |||||
| CVE-2026-66485 | 2026-08-28 | N/A | N/A | ||
| 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 | |||||
| CVE-2026-12185 | 1 Bouncycastle | 2 Bc-java, Bouncy Castle For Java Lts | 2026-08-28 | N/A | 8.6 HIGH |
| 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. | |||||
| CVE-2026-19566 | 2026-08-26 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2026-15567 | 2026-08-24 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2026-75935 | 2026-08-20 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2025-71395 | 1 Surrealdb | 1 Surrealdb | 2026-08-19 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2026-69219 | 2026-08-19 | N/A | N/A | ||
| 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. | |||||
| CVE-2026-49975 | 2 Apache, Debian | 2 Http Server, Debian Linux | 2026-08-19 | N/A | 7.5 HIGH |
| 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. | |||||
| CVE-2026-15337 | 1 Djangoproject | 1 Django | 2026-08-18 | N/A | 5.3 MEDIUM |
| 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. | |||||
| CVE-2026-71218 | 2026-08-14 | N/A | 5.3 MEDIUM | ||
| 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. | |||||
| CVE-2026-44630 | 2026-08-12 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2026-54890 | 1 Erlang | 2 Erlang\/otp, Erts | 2026-08-10 | N/A | 7.5 HIGH |
| Integer Underflow (Wrap or Wraparound) vulnerability in erlang otp erlang/otp (erts modules), erlang otp erts (erts modules) allows Forced Integer Overflow, Excessive Allocation. This vulnerability is associated with program files erts/emulator/beam/external.c, emulator/beam/external.c. The BIT_BINARY_EXT tag (77) handler in the External Term Format (ETF) decoder accepts an encoding with both length and trailing-bits fields set to zero. The subsequent computation of the bitstring size underflows an unsigned integer, producing a value of roughly 2^64 that is then passed as a memory allocation size. The allocator aborts the entire node with a message such as "Cannot allocate 2305843009213693951 bytes of memory (of type binary)". The crash is a VM-level abort, not an Erlang-level exception. It cannot be intercepted by supervision trees, by try/catch, or by passing the [safe] option to binary_to_term/2 (which only restricts atom creation and does not perform structural validation of binary encodings). Any application that decodes ETF from untrusted sources via binary_to_term/1,2 or enif_binary_to_term() is exposed. The Erlang distribution protocol also decodes incoming terms through the same code path, but distribution is expected to run on trusted networks per the OTP Secure Coding Guidelines (DSG-011). This issue affects OTP from OTP 27.0 before OTP 29.0.4, OTP 28.5.0.4 and OTP 27.3.4.15, corresponding to erts from 15.0 before 17.0.4, 16.4.0.4 and 15.2.7.11. | |||||
| CVE-2026-67551 | 1 Apache | 1 Qpid Proton-dotnet | 2026-08-07 | N/A | 7.5 HIGH |
| pre-authentication attacker could leverage type size/count handling to cause excessive allocation leading to potential denial of service. This issue affects Apache Qpid Proton-Dotnet: through 1.0.0. Users are recommended to upgrade to version 1.1.0, which fixes the issue. | |||||
| CVE-2026-67589 | 1 Apache | 1 Qpid Protonj2 | 2026-08-07 | N/A | 7.5 HIGH |
| A pre-authentication attacker could leverage type size/count handling to cause excessive allocation leading to potential denial of service. This issue affects Apache Qpid ProtonJ2: through 1.1.0. Users are recommended to upgrade to version 1.2.0, which fixes the issue. | |||||
| CVE-2026-66273 | 1 Apache | 1 Qpid Proton-j | 2026-08-07 | N/A | 7.5 HIGH |
| A pre-authentication attacker could leverage type size/count handling to cause excessive allocation leading to potential denial of service. This issue affects Apache Qpid Proton-J: through 0.34.1. Users are recommended to upgrade to version 0.35.0, which fixes the issue. | |||||
| CVE-2026-66733 | 2026-08-06 | N/A | 7.5 HIGH | ||
| Sonic 3 A.I.R. before commit 2492d18 contains an unbounded memory allocation vulnerability in ReceivedPacketCache::enqueuePacket() that allows unauthenticated remote attackers to crash the server process by sending a crafted UDP packet with mUniquePacketID set to the maximum uint32 value. The mUniquePacketID field is read directly from the UDP wire-format packet header without bounds checking, causing the server to allocate one CacheItem per missing packet ID gap, exhausting available host memory and propagating an uncaught std::bad_alloc exception to std::terminate(). | |||||
| CVE-2026-44453 | 1 H2o | 1 H2o | 2026-08-06 | N/A | 7.5 HIGH |
| h2o is an HTTP server with support for HTTP/1.x, HTTP/2 and HTTP/3. Prior to commit 6b5370d, h2o is vulnerable to a Denial of Service attack when calling alloca under certain conditions. When serving static files, h2o builds the file path on stack, by calling alloca. The maximum size of the memory allocated using alloca can be as huge as ~600KB, which exceeds the default pthread stack size used by musl libc (128KB). If the amount of memory allocated by alloca exceeds the stack size, the h2o server crashes with a segmentation fault, while it tries to touch the guard page. This issue has been fixed by commit 6b5370d. | |||||
| CVE-2026-69702 | 2026-08-05 | N/A | 6.5 MEDIUM | ||
| 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. | |||||
| CVE-2026-42440 | 1 Apache | 1 Opennlp | 2026-07-30 | N/A | 7.5 HIGH |
| OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader Versions Affected: before 1.9.5 before 2.5.9 before 3.0.0-M3 Description: The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source. A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load. The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins. Mitigation: * 2.x users should upgrade to 2.5.9. * 3.x users should upgrade to 3.0.0-M3. Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default. Users who cannot upgrade immediately should treat all .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks. | |||||