| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| JLine is a Java library for handling console input. From 3.0.0 until 3.30.15 and 4.3.1, the JLine built-in nano editor's regex search mode passes a user-controlled search term from doSearch(String text) in builtins/src/main/java/org/jline/builtins/Nano.java to Java's backtracking regular expression engine without a timeout or backtracking bound. A nested-quantifier expression evaluated against non-matching buffer content can consume excessive CPU and indefinitely block the editor session thread, and remote multi-user deployments can lose a worker thread for each affected session. This issue is fixed in versions 3.30.15 and 4.3.1. |
| JLine is a Java library for handling console input. From 3.0.0 until 3.30.15 and 4.3.1, the JLine built-in grep command in builtins/src/main/java/org/jline/builtins/PosixCommands.java accepts a user-controlled regular expression in grep(...) and, unless line-regexp mode is used, automatically adds a dot-star prefix and suffix before compiling it with Java's backtracking regular expression engine. The wrapping expands the backtracking search space, so a short nested-quantifier expression evaluated against non-matching input can consume excessive CPU and indefinitely block a command worker, including in remotely exposed shell sessions. This issue is fixed in versions 3.30.15 and 4.3.1. |
| RabbitMQ is a messaging and streaming broker. Prior to 4.3.5, an authenticated user who can bind a queue to a topic exchange and publish to it can use consecutive # segments in a binding key to make both topic matchers revisit the same trie-node and routing-key-suffix states without memoization. The matcher materializes duplicate destinations before deduplication, causing combinatorial CPU work and memory pressure that can disrupt routing for all tenants. This vulnerability is fixed in 4.3.5. |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, a security filter that protects Zammad's AI Agent configuration can be bypassed by entering specially crafted text into one of an AI Agent's fields. An administrator with permission to create or edit AI Agents could exploit this to run arbitrary commands on the server that hosts Zammad, potentially reading, modifying, or destroying all data stored on that server. No interaction from other users is needed; the malicious code runs automatically the next time the affected AI Agent processes a ticket. This issue is fixed in version 7.1.2. |
| nDPI 5.1.0 contains a memory access issue in the DNS dissector and serializer deserialization code. Specially crafted network input can cause byte-buffer addresses at odd offsets to be cast to uint16_t or wider integer pointers and directly dereferenced without alignment checks. This results in undefined behavior and can cause process termination in UBSan-instrumented builds or on strict-alignment architectures, leading to denial of service. |
| In the Linux kernel, the following vulnerability has been resolved:
virtio-fs: avoid double-free on failed queue setup
virtio_fs_setup_vqs() allocates fs->vqs and fs->mq_map before calling
virtio_find_vqs(). If virtio_find_vqs() fails, the error path frees both
pointers and returns an error to virtio_fs_probe().
virtio_fs_probe() then drops the last kobject reference, and
virtio_fs_ktype_release() frees fs->vqs and fs->mq_map again. This leaves
dangling pointers in struct virtio_fs and can trigger a double-free during
probe failure cleanup.
Set fs->vqs and fs->mq_map to NULL immediately after kfree() in the
virtio_fs_setup_vqs() error path so that the later kobject release sees an
uninitialized state and kfree(NULL) becomes harmless.
This can be reproduced when a broken virtio-fs device advertises more
request queues than the transport actually provides. In that case
virtio_find_vqs() fails while setting up the extra queue, and the probe
path reaches the double-free cleanup sequence. |
| The Botslab G980H dash camera firmware generates the default WiFi password using predictable device information, portions of which are advertised by the product. An unauthenticated attacker within WiFi range could potentially determine the remaining password characters through limited guessing and gain unauthorized access to the device network. |
| A flaw has been found in ningzichun student-management-system up to 98760f5711cf6dc8b4adca53a9e207ca49b02ebf. Affected by this vulnerability is an unknown functionality of the file example_lite.sql. Executing a manipulation can lead to use of default credentials. It is possible to launch the attack remotely. The exploit has been published and may be used. The project was informed of the problem early through an issue report but has not responded yet. |
| A prototype pollution vulnerability in Software Mansion React Native Worklets before 0.12.2 allows an attacker-controlled object containing a __proto__ property to modify the prototype of an object created during serialization in clonePlainJSObject in packages/react-native-worklets/src/memory/serializable.native.ts. When affected data is subsequently processed by React Native Worklets, the malformed serialized object can cause the React Native application to crash. This can result in a remotely triggered denial of service in applications that pass attacker-controlled data through the affected serialization path. In applications where the attacker-controlled data is persisted, the denial of service may persist across application restarts or repeated attempts to access the affected content. |
| A specially crafted pair of WS-Policy documents can force Neethi's policy-intersection to do exponential amounts of work, pinning the CPU for a long time (denial of service).
Users are recommended to upgrade to version 3.2.4, which fixes this issue. |
| redis-parser through 3.0.0 fails to validate the multi-bulk length value in RESP protocol parsing, allowing attackers to trigger an uncaught RangeError by supplying an excessively large declared length. A malicious or compromised Redis endpoint can deliver a crafted RESP header with a length above 2^32-1 to crash the Node.js client process. |
| Uncontrolled Resource Consumption (CWE-400 / CWE-1333) in regex search query predicates (such as RegexProjectPredicate, RegexRefPredicate, RegexPathPredicate, and sibling predicates) and REST regex filter endpoints (RegexListSearcher /projects/?r= and RefFilter /projects/{project}/branches/?r=) in Gerrit Code Review versions 2.1.6 through 3.12.9, 3.13.0 through 3.13.8, and 3.14.0 through 3.14.2 allows an unauthenticated remote attacker (or an authenticated user if anonymous read access is disabled) to cause a denial of service (CPU starvation and JVM heap exhaustion / OutOfMemoryError) via crafted search queries or REST API requests containing regular expressions with large counted repetitions or exponential DFA determinization patterns. Because the user-supplied regular expression is compiled into an unbounded dk.brics.automaton instance (new RegExp(re).toAutomaton()) on the request thread prior to index evaluation or access control visibility filtering, trivial queries can exhaust JVM heap or pin request threads regardless of heap size. This issue is fixed in Gerrit Code Review versions 3.12.10, 3.13.9, and 3.14.3. |
| Vector is a high-performance observability data pipeline. From 0.15.0 until 0.57.0, the logstash source reads a 32-bit compressed-frame length from the network and uses it to size an in-memory buffer without an upper bound. An unauthenticated remote peer that can reach the default 0.0.0.0:5044 listener can send a minimal frame declaring a multi-gigabyte payload, causing an excessive allocation that can abort Vector or invoke the host OOM killer. Because the allocation follows the declared length rather than bytes transmitted, the attacker has low resource cost, and process termination can halt log ingestion for every tenant on a shared pipeline. This issue is fixed in version 0.57.0. |
| Prototype pollution in csv parsing logic during import can lead to untrusted file paths (but not arguments) entering shell.openExternal after specific user behavior leading to "1-click" command execution. |
| A flaw was found in rsyslog. An unauthenticated remote attacker can trigger a heap buffer overflow in the RainerScript `replace()` function by sending specially crafted syslog messages. This vulnerability arises from an incorrect buffer size calculation during string replacement, causing memory corruption. Successful exploitation can lead to a denial of service (DoS) for the affected system. |
| An inefficient regular expression complexity issue in the in-memory query evaluation component of the Mongoid library may allow an unauthenticated party to cause excessive processing within an embedding application process. Applications that place user-supplied text into a pattern-matching query condition on an embedded association may become unresponsive. |
| RabbitMQ is a messaging and streaming broker. Prior to versions 4.2.7 and 4.3.1, pattern_to_regex maps % -> .*? and _ -> ., then compiles ^...$ with only [unicode]; re:run is called with only [{capture, none}] - no explicit match_limit. A pattern like %_%_..._%X becomes ^.*?..*?.....*?.X$ with overlapping lazy quantifiers. The whole-expression cap is ?MAX_EXPRESSION_LENGTH=4096 chars / ?MAX_TOKENS=200; a LIKE string literal is one token, so ~2000 %_ pairs fit. SQL filters are accepted unconditionally at rabbit_amqp_session.erl:3264 (no feature flag). Evaluated per-message at rabbit_stream_queue.erl:1439. OTP's default 10M match_limit caps each match at ~100-200 ms (not seconds), and the re NIF yields to the scheduler. An authenticated AMQP 1.0 consumer with read+write on a stream queue can cause ~100-200 ms of CPU per delivered message via a crafted LIKE filter, multiplied across thousands of messages and parallel sessions - a substantial backtracking-driven CPU amplification. Preconditions include AMQP 1.0 with stream queues in use Attacker can attach a receiver with a filter (read permission) and publish messages with long property values (write permission). This issue is fixed in versions 4.2.7 and 4.3.1. |
| RabbitMQ is a messaging and streaming broker. Prior to versions 3.13.15, 4.0.20, 4.1.11, 4.2.6, and 4.3.0, match_value/3 passes the user-supplied ?name= regular expression to re:run with no match_limit option, and executes it once per resource in the result set. OTP's default 10M match_limit caps each call at roughly 100-200ms, but the regex runs once per resource in the result set. With a large set, for example 5000 queues at 150ms each, a single request consumes 12 or more minutes of CPU. Parallel requests saturate the schedulers. The use_regex=true option is a supported feature on list endpoints, so this path is reachable through normal API use. Preconditions include Any user with the management tag can exploit this.. This issue is fixed in versions 3.13.15, 4.0.20, 4.1.11, 4.2.6, and 4.3.0. |
| RabbitMQ is a messaging and streaming broker. Prior to versions 3.13.15, 4.0.20, 4.1.11, 4.2.6, and 4.3.0, Neither the Web-MQTT handler (deps/rabbitmq_web_mqtt/src/rabbit_web_mqtt_handler.erl:104) nor the Web-STOMP handler (deps/rabbitmq_web_stomp/src/rabbit_web_stomp_handler.erl:102) validates the Origin header on the WebSocket upgrade. Under ssl_cert_login=true, the browser presents the client certificate automatically, so an attacker's JavaScript running in the victim's browser can authenticate as the victim. Preconditions include The non-default configuration use_http_auth=true (Web-STOMP) or ssl_cert_login=true (both plugins) must be enabled. The issue is harmless under the default in-band CONNECT credential configuration.. This issue is fixed in versions 3.13.15, 4.0.20, 4.1.11, 4.2.6, and 4.3.0. |
| Incorrect calculation of buffer size vulnerability in Altera Trusted Firmware on HPS allows Overflow Buffers.
This issue affects Trusted Firmware: through socfpga_v2.14.0. |
