Total
157 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-65315 | 2026-07-22 | N/A | 7.5 HIGH | ||
| Ollama (HEAD f0078ae) contains an uncontrolled memory allocation vulnerability in the GGUF metadata parser that allows remote attackers to crash the server by supplying a crafted GGUF file with attacker-controlled length and count fields in string lengths, tensor dimension counts, and metadata array counts that are used as allocation sizes without validation against remaining file size. Attackers can upload a sub-1KB crafted GGUF file via the blob upload and model create or pull API endpoints to trigger unrecoverable Go runtime out-of-memory fatal errors or makeslice panics that bypass recovery middleware and crash the entire server process. | |||||
| CVE-2026-59844 | 2026-07-22 | N/A | 6.5 MEDIUM | ||
| A flaw was found in libssh. A remote authenticated client can issue SSH_FXP_READ requests with an arbitrarily large length, causing a libssh SFTP server to allocate excessive memory and potentially exhaust it through repeated requests. | |||||
| CVE-2025-71395 | 2026-07-22 | N/A | N/A | ||
| 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-2026-41178 | 1 Opentelemetry | 1 Opentelemetry | 2026-07-22 | N/A | 5.3 MEDIUM |
| OpenTelemetry-Go is the Go implementation of OpenTelemetry. Versions 1.41.0 and 1.43.0 removed raw-length rejection and it causes `Parse` to process arbitrarily large/invalid baggage headers and log errors, enabling DoS via oversized inputs. Versions 1.42.0 and 1.44.0 fix the issue. | |||||
| CVE-2026-47319 | 2026-07-22 | N/A | 6.1 MEDIUM | ||
| Memory allocation with excessive size value vulnerability in Samsung Open Source rlottie allows Excessive Allocation. This issue affects rlottie: before 0b4e308fa88c72cbb60cc8a2c1d2c2ad89b101dd. | |||||
| CVE-2026-40378 | 1 Microsoft | 13 Windows 10 1607, Windows 10 1809, Windows 10 21h2 and 10 more | 2026-07-22 | N/A | 7.5 HIGH |
| Memory allocation with excessive size value in Windows Local Security Authority Subsystem Service (LSASS) allows an unauthorized attacker to deny service over a network. | |||||
| CVE-2026-42154 | 1 Prometheus | 1 Prometheus | 2026-07-22 | N/A | 7.5 HIGH |
| Prometheus is an open-source monitoring system and time series database. Prior to versions 3.5.3 and 3.11.3, the remote read endpoint (/api/v1/read) does not validate the declared decoded length in a snappy-compressed request body before allocating memory. An unauthenticated attacker can send a small payload that causes a huge heap allocation per request. Under concurrent load this can exhaust available memory and crash the Prometheus process. This issue has been patched in versions 3.5.3 and 3.11.3. | |||||
| CVE-2026-47667 | 2026-07-21 | N/A | 7.5 HIGH | ||
| CImg Library is a C++ library for image processing. Prior to version 4.0.0 in `_load_analyze()`, the header_size field is read as an `unsigned int` from the first 4 bytes of an Analyze/NIfTI file and passed directly to `new unsigned char[header_size]` without being bounded against the actual file size. A value up to ~4 GB is accepted. If the subsequent `fread` returns `short` as it will for any malformed file), the function throws a `CImgIOException` and the allocated buffer is never freed. A 6-byte crafted file is sufficient to trigger an allocation of ~1.3 GB per call, with the full allocation leaked on every error path. The issue is reachable via `load_analyze()` and the generic `load()` when the file extension is .hdr, .img, or .nii. Version 4.0.0 fixes the issue. | |||||
| CVE-2026-59204 | 1 Python | 1 Pillow | 2026-07-21 | N/A | 7.5 HIGH |
| Pillow is a Python imaging library. From 8.2.0 through 12.2.0, src/libImaging/Jpeg2KDecode.c accumulates total_component_width across every tile in a JPEG2000 image instead of recomputing it per tile, allowing a crafted tiled JPEG2000 file to force substantially higher transient memory usage and trigger out-of-memory failures during decoding. This issue is fixed in version 12.3.0. | |||||
| CVE-2026-43868 | 1 Apache | 1 Thrift | 2026-07-21 | N/A | 5.3 MEDIUM |
| Memory Allocation with Excessive Size Value vulnerability in Apache Thrift. This issue affects Apache Thrift: before 0.23.0. Users are recommended to upgrade to version 0.23.0, which fixes the issue. | |||||
| CVE-2026-44453 | 2026-07-17 | 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-2026-55407 | 2026-07-16 | N/A | N/A | ||
| Buffa is a pure-Rust Protocol Buffers implementation with first-class protobuf editions support. Prior to 0.8.0, the decode_unknown_field function in buffa's protobuf decoder allocated heap memory in proportion to untrusted input (unknown fields in the serialized protobuf) without enforcing an allocation budget, affecting any message decoded from untrusted input using code generated with preserve_unknown_fields=true (the default); a small, well-formed payload of nested unknown fields inside a StartGroup could trigger roughly 22x memory amplification (for example a 64 MiB input forcing about 1.4 GB of heap allocation), and length-delimited unknown fields could be sized arbitrarily, so an unauthenticated attacker could crash a process through memory exhaustion because the top-level message size cap did not account for in-decode amplification. This issue is fixed in version 0.8.0. | |||||
| CVE-2026-14684 | 2026-07-16 | 1.7 LOW | 3.3 LOW | ||
| A flaw has been found in HdrHistogram up to 2.2.2. This affects the function org.HdrHistogram.AbstractHistogram.decodeFromByteBuffer of the file src/main/java/org/HdrHistogram/AbstractHistogram.java. This manipulation of the argument numberOfSignificantValueDigits causes uncontrolled memory allocation. The attack can only be executed locally. The exploit has been published and may be used. The actual existence of this vulnerability is currently in question. This issue is disputed due to the potential lack of crossing of security boundaries and the pre-requisites for a successful attack. | |||||
| CVE-2026-14683 | 2026-07-16 | 1.7 LOW | 3.3 LOW | ||
| A vulnerability was detected in HdrHistogram up to 2.2.2. Affected by this issue is the function org.HdrHistogram.AbstractHistogram.decodeFromCompressedByteBuffer of the file src/main/java/org/HdrHistogram/AbstractHistogram.java. The manipulation of the argument lengthOfCompressedContents results in uncontrolled memory allocation. The attack needs to be approached locally. The exploit is now public and may be used. It is still unclear if this vulnerability genuinely exists. This issue is disputed due to the potential lack of crossing of security boundaries and the pre-requisites for a successful attack. | |||||
| CVE-2026-58559 | 2026-07-15 | N/A | 6.5 MEDIUM | ||
| DoS vulnerability in the vibration service. Impact: Successful exploitation of this vulnerability may affect availability. | |||||
| CVE-2026-49975 | 2 Apache, Debian | 2 Http Server, Debian Linux | 2026-07-15 | 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-2026-42440 | 1 Apache | 1 Opennlp | 2026-07-15 | 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. | |||||
| CVE-2026-25985 | 1 Imagemagick | 1 Imagemagick | 2026-07-15 | N/A | 7.5 HIGH |
| ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to versions 7.1.2-15 and 6.9.13-40, a crafted SVG file containing an malicious element causes ImageMagick to attempt to allocate ~674 GB of memory, leading to an out-of-memory abort. Versions 7.1.2-15 and 6.9.13-40 contain a patch. | |||||
| CVE-2026-52753 | 1 Nsa | 1 Ghidra | 2026-07-14 | N/A | 5.5 MEDIUM |
| Ghidra before 12.0.3 contains an out-of-memory vulnerability in the rust_demangle function that allocates unbounded output buffers without size limits. Attackers can craft malicious Rust symbol names in binaries to trigger exponential memory allocation, causing process crashes during binary analysis. | |||||
| CVE-2026-32836 | 1 Mackron | 1 Dr Libs | 2026-07-14 | N/A | 6.2 MEDIUM |
| dr_libs dr_flac.h version 0.13.3 and earlier (fixed in commits fefced4, 4f5a4cd, and 663239a) contain an uncontrolled memory allocation vulnerability in drflac__read_and_decode_metadata() that allows attackers to trigger excessive memory allocation by supplying crafted PICTURE metadata blocks. Attackers can exploit attacker-controlled mimeLength and descriptionLength fields to cause denial of service through memory exhaustion when processing FLAC streams with metadata callbacks. | |||||