CVE Database - Resource Exhaustion

LibreChat version 0.7.9 is vulnerable to a Denial of Service (DoS) attack due to unbounded parameter values in the `/api/memories` endpoint. The `key` and `value` parameters accept arbitrarily large inputs without proper validation, leading to a null pointer error in the Rust-based backend when excessively large values are submitted. This results in the inability to create new memories, impacting the stability of the service.

Scrapy versions up to 2.13.2 are vulnerable to a denial of service (DoS) attack due to a flaw in its brotli decompression implementation. The protection mechanism against decompression bombs fails to mitigate the brotli variant, allowing remote servers to crash clients with less than 80GB of available memory. This occurs because brotli can achieve extremely high compression ratios for zero-filled data, leading to excessive memory consumption during decompression.

Zohocorp ManageEngine Exchange Reporter Plus through 5721 are vulnerable to ReDOS vulnerability in the search module.

Uncontrolled Resource Consumption vulnerability in Progress MOVEit Transfer (AS2 module).This issue affects MOVEit Transfer: from 2025.0.0 before 2025.0.3, from 2024.1.0 before 2024.1.7, from 2023.1.0 before 2023.1.16.

Bitcoin Core through 29.0 allows Uncontrolled Resource Consumption (issue 2 of 2).

Bitcoin Core through 29.0 allows Uncontrolled Resource Consumption (issue 1 of 2).

The GameDriverX64.sys kernel-mode anti-cheat driver (v7.23.4.7 and earlier) contains an access control vulnerability in one of its IOCTL handlers. A user-mode process can open a handle to the driver device and send specially crafted IOCTL requests. These requests are executed in kernel-mode context without proper authentication or access validation, allowing the attacker to terminate arbitrary processes, including critical system and security services, without requiring administrative privileges.

An issue was discovered in Prevx v3.0.5.220 allowing attackers to cause a denial of service via sending IOCTL code 0x22E044 to the pxscan.sys driver. Any processes listed under registry key HKEY_LOCAL_MACHINE\System\CurrentControlSet\Services\pxscan\Files will be terminated.

Liferay Portal 7.4.0 through 7.4.3.99, and Liferay DXP 2023.Q3.1 through 2023.Q3.4, 7.4 GA through update 92, 7.3 GA through update 35, and older unsupported versions does not limit the number of objects returned from Headless API requests, which allows remote attackers to perform denial-of-service (DoS) attacks on the application by executing a request that returns a large number of objects.

Uncontrolled Resource Consumption vulnerability in Legion of the Bouncy Castle Inc. Bouncy Castle for Java FIPS bc-fips on All (API modules), Legion of the Bouncy Castle Inc. Bouncy Castle for Java LTS bcprov-lts8on on All (API modules) allows Excessive Allocation. This vulnerability is associated with program files core/src/main/jdk1.9/org/bouncycastle/crypto/fips/AESNativeCFB.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/fips/AESNativeGCM.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/fips/SHA256NativeDigest.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/fips/AESNativeEngine.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/fips/AESNativeCBC.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/fips/AESNativeCTR.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/engines/AESNativeCFB.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/engines/AESNativeGCM.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/engines/AESNativeEngine.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/engines/AESNativeCBC.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/engines/AESNativeGCMSIV.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/engines/AESNativeCCM.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/engines/AESNativeCTR.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/digests/SHA256NativeDigest.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/digests/SHA224NativeDigest.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/digests/SHA3NativeDigest.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/digests/SHAKENativeDigest.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/digests/SHA512NativeDigest.Java, core/src/main/jdk1.9/org/bouncycastle/crypto/digests/SHA384NativeDigest.Java. This issue affects Bouncy Castle for Java FIPS: from 2.1.0 through 2.1.1; Bouncy Castle for Java LTS: from 2.73.0 through 2.73.7.

An issue was discovered in the NDIS Usermode IO driver (RtkIOAC60.sys, version 6.0.5600.16348) allowing local authenticated attackers to send a crafted IOCTL request to the driver to cause a denial of service.

Authlib is a Python library which builds OAuth and OpenID Connect servers. Prior to version 1.6.5, Authlib’s JWE zip=DEF path performs unbounded DEFLATE decompression. A very small ciphertext can expand into tens or hundreds of megabytes on decrypt, allowing an attacker who can supply decryptable tokens to exhaust memory and CPU and cause denial of service. This issue has been patched in version 1.6.5. Workarounds for this issue involve rejecting or stripping zip=DEF for inbound JWEs at the application boundary, forking and add a bounded decompression guard via decompressobj().decompress(data, MAX_SIZE)) and returning an error when output exceeds a safe limit, or enforcing strict maximum token sizes and fail fast on oversized inputs; combine with rate limiting.

Vulnerability in the Oracle ZFS Storage Appliance Kit product of Oracle Systems (component: Object Store). The supported version that is affected is 8.8. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP to compromise Oracle ZFS Storage Appliance Kit. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle ZFS Storage Appliance Kit. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the Oracle ZFS Storage Appliance Kit product of Oracle Systems (component: Remote Replication). The supported version that is affected is 8.8. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP to compromise Oracle ZFS Storage Appliance Kit. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle ZFS Storage Appliance Kit. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the Oracle ZFS Storage Appliance Kit product of Oracle Systems (component: Remote Replication). The supported version that is affected is 8.8. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP to compromise Oracle ZFS Storage Appliance Kit. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle ZFS Storage Appliance Kit. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the Oracle ZFS Storage Appliance Kit product of Oracle Systems (component: Core). The supported version that is affected is 8.8. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP to compromise Oracle ZFS Storage Appliance Kit. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle ZFS Storage Appliance Kit. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the Oracle Solaris product of Oracle Systems (component: Kernel). The supported version that is affected is 11. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle Solaris executes to compromise Oracle Solaris. While the vulnerability is in Oracle Solaris, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Solaris. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.0-8.0.43, 8.4.0-8.4.6 and 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.0-8.0.43, 8.4.0-8.4.6 and 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server as well as unauthorized update, insert or delete access to some of MySQL Server accessible data. CVSS 3.1 Base Score 5.5 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: DML). Supported versions that are affected are 8.0.0-8.0.43, 8.4.0-8.4.6 and 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server as well as unauthorized update, insert or delete access to some of MySQL Server accessible data. CVSS 3.1 Base Score 5.5 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:H).

Vulnerability in the PeopleSoft Enterprise PeopleTools product of Oracle PeopleSoft (component: Performance Monitor). Supported versions that are affected are 8.60, 8.61 and 8.62. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise PeopleSoft Enterprise PeopleTools. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of PeopleSoft Enterprise PeopleTools. CVSS 3.1 Base Score 7.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the Oracle ZFS Storage Appliance Kit product of Oracle Systems (component: Analytics). The supported version that is affected is 8.8. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP to compromise Oracle ZFS Storage Appliance Kit. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle ZFS Storage Appliance Kit. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.0-8.0.43, 8.4.0-8.4.6 and 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.0-8.0.43, 8.4.0-8.4.6 and 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.43, 8.4.0-8.4.6 and 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.43, 8.4.0-8.4.6 and 9.0.0-9.4.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

ProcessWire CMS 3.0.246 allows a low-privileged user with lang-edit to upload a crafted ZIP to Language Support that is auto-extracted without limits prior to validation, enabling resource-exhaustion Denial of Service.

Hatching Triage Sandbox Windows 10 build 2004 (2025-08-14) and Windows 10 LTSC 2021(2025-08-14) contains a vulnerability in its Windows behavioral analysis engine that allows a submitted malware sample to evade detection and cause denial-of-analysis. The vulnerability is triggered when a sample recursively spawns a large number of child processes, generating high log volume and exhausting system resources. As a result, key malicious behavior, including PowerShell execution and reverse shell activity, may not be recorded or reported, misleading analysts and compromising the integrity and availability of sandboxed analysis results.

Denial-of-analysis in reporting/mongodb.py and reporting/jsondump.py in CAPEv2 (commit 52e4b43, on 2025-05-17) allows attackers who can submit samples to cause incomplete or missing behavioral analysis reports by generating deeply nested or oversized behavior data that trigger MongoDB BSON limits or orjson recursion errors when the sample executes in the sandbox.

An issue was discovered in L2 in Samsung Mobile Processor, Wearable Processor, and Modem Exynos 980, 990, 850, 1080, 2100, 1280, 2200, 1330, 1380, 1480, 9110, W920, W930, Modem 5123, and Modem 5300. Incorrect handling of RLC AM PDUs leads to a Denial of Service.

An issue was discovered in Samsung Mobile Processor, Wearable Processor, and Modem Exynos 980, 990, 850, 1080, 2100, 1280, 2200, 1330, 1380, 1480, 2400, 9110, W920, W930, W1000, Modem 5123, Modem 5300, Modem 5400. The absence of a NULL check leads to a Denial of Service when an attacker sends malformed MM packets to the target.

OpenBao is an open source identity-based secrets management system. In OpenBao versions prior to 2.4.1, JSON objects after decoding may use significantly more memory than their serialized version. It is possible to craft a JSON payload to maximize the factor between serialized memory usage and deserialized memory usage, similar to a zip bomb, with factors reaching approximately 35. This can be used to circumvent the max_request_size configuration parameter which is intended to protect against denial of service attacks. The request body is parsed into a map very early in the request handling chain before authentication, which means an unauthenticated attacker can send a specifically crafted JSON object and cause an out-of-memory crash. Additionally, for requests with large numbers of strings, the audit subsystem can consume large quantities of CPU. The vulnerability is fixed in version 2.4.1.

NVIDIA Jetson Linux and IGX OS contain a vulnerability in NvMap, where improper tracking of memory allocations could allow a local attacker to cause memory overallocation. A successful exploitation of this vulnerability might lead to denial of service.

An issue in the Configure New Cluster interface of kafka-ui v0.6.0 to v0.7.2 allows attackers to cause a Denial of Service (DoS) via uploading a crafted configuration file.

Uncontrolled resource consumption in Windows Remote Procedure Call allows an unauthorized attacker to deny service over a network.

A vulnerability in the parsing of ethernet frames in AOS-8 Instant and AOS 10 could allow an unauthenticated remote attacker to conduct a denial of service attack. Successful exploitation could allow an attacker to potentially disrupt network services and require manual intervention to restore functionality.

A vulnerability in an AOS firmware binary allows an authenticated malicious actor to permanently delete necessary boot information. Successful exploitation may render the system unbootable, resulting in a Denial of Service that can only be resolved by replacing the affected hardware.

A weakness has been identified in Tomofun Furbo 360 up to FB0035_FW_036. This vulnerability affects unknown code of the component File Upload. This manipulation causes resource consumption. Remote exploitation of the attack is possible. The vendor was contacted early about this disclosure but did not respond in any way.

Authlib is a Python library which builds OAuth and OpenID Connect servers. Prior to version 1.6.5, Authlib’s JOSE implementation accepts unbounded JWS/JWT header and signature segments. A remote attacker can craft a token whose base64url‑encoded header or signature spans hundreds of megabytes. During verification, Authlib decodes and parses the full input before it is rejected, driving CPU and memory consumption to hostile levels and enabling denial of service. Version 1.6.5 patches the issue. Some temporary workarounds are available. Enforce input size limits before handing tokens to Authlib and/or use application-level throttling to reduce amplification risk.

Rack is a modular Ruby web server interface. Prior to versions 2.2.20, 3.1.18, and 3.2.3, `Rack::Request#POST` reads the entire request body into memory for `Content-Type: application/x-www-form-urlencoded`, calling `rack.input.read(nil)` without enforcing a length or cap. Large request bodies can therefore be buffered completely into process memory before parsing, leading to denial of service (DoS) through memory exhaustion. Users should upgrade to Rack version 2.2.20, 3.1.18, or 3.2.3, anu of which enforces form parameter limits using `query_parser.bytesize_limit`, preventing unbounded reads of `application/x-www-form-urlencoded` bodies. Additionally, enforce strict maximum body size at the proxy or web server layer (e.g., Nginx `client_max_body_size`, Apache `LimitRequestBody`).

An Uncontrolled Resource Consumption vulnerability in the HTTP daemon (httpd) of Juniper Networks Junos Space allows an unauthenticated network-based attacker flooding the device with inbound API calls to consume all resources on the system, leading to a Denial of Service (DoS). After continuously flooding the system with inbound connection requests, all available file handles become consumed, blocking access to the system via SSH and the web user interface (WebUI), resulting in a management interface DoS. A manual reboot of the system is required to restore functionality. This issue affects Junos Space: * all versions before 22.2R1 Patch V3, * from 23.1 before 23.1R1 Patch V3.

An Uncontrolled Resource Consumption vulnerability in the Connectivity Fault Management (CFM) daemon and the Connectivity Fault Management Manager (cfmman) of Juniper Networks Junos OS Evolved on PTX10001-36MR, PTX10002-36QDD, PTX10004, PTX10008, PTX10016 allows an unauthenticated, adjacent attacker to cause a Denial-of-Service (DoS). An attacker on an adjacent device sending specific valid traffic can cause cfmd to spike the CPU to 100% and cfmman's memory to leak, eventually to cause the FPC crash and restart. Continued receipt and processes of these specific valid packets will sustain the Denial of Service (DoS) condition. An indicator of compromise is to watch for an increase in cfmman memory rising over time by issuing the following command and evaluating the RSS number. If the RSS is growing into GBs then consider restarting the device to temporarily clear memory.   user@device> show system processes node fpc<num> detail | match cfmman Example:    show system processes node fpc0 detail | match cfmman    F S UID       PID       PPID PGID   SID   C PRI NI  ADDR SZ    WCHAN   RSS     PSR STIME TTY         TIME     CMD   4 S root      15204     1    15204  15204 0 80  0   - 90802     -      113652   4  Sep25 ?           00:15:28 /usr/bin/cfmman -p /var/pfe -o -c /usr/conf/cfmman-cfg-active.xml This issue affects Junos OS Evolved on PTX10001-36MR, PTX10002-36QDD, PTX10004, PTX10008, PTX10016: * from 23.2R1-EVO before 23.2R2-S4-EVO, * from 23.4 before 23.4R2-S4-EVO, * from 24.2 before 24.2R2-EVO, * from 24.4 before 24.4R1-S2-EVO, 24.4R2-EVO. This issue does not affect Junos OS Evolved on PTX10001-36MR, PTX10002-36QDD, PTX10004, PTX10008, PTX10016 before 23.2R1-EVO.

Rack is a modular Ruby web server interface. In versions prior to 2.2.19, 3.1.17, and 3.2.2, `Rack::Multipart::Parser` can accumulate unbounded data when a multipart part’s header block never terminates with the required blank line (`CRLFCRLF`). The parser keeps appending incoming bytes to memory without a size cap, allowing a remote attacker to exhaust memory and cause a denial of service (DoS). Attackers can send incomplete multipart headers to trigger high memory use, leading to process termination (OOM) or severe slowdown. The effect scales with request size limits and concurrency. All applications handling multipart uploads may be affected. Versions 2.2.19, 3.1.17, and 3.2.2 cap per-part header size (e.g., 64 KiB). As a workaround, restrict maximum request sizes at the proxy or web server layer (e.g., Nginx `client_max_body_size`).

Rack is a modular Ruby web server interface. In versions prior to 2.2.19, 3.1.17, and 3.2.2, ``Rack::Multipart::Parser` stores non-file form fields (parts without a `filename`) entirely in memory as Ruby `String` objects. A single large text field in a multipart/form-data request (hundreds of megabytes or more) can consume equivalent process memory, potentially leading to out-of-memory (OOM) conditions and denial of service (DoS). Attackers can send large non-file fields to trigger excessive memory usage. Impact scales with request size and concurrency, potentially leading to worker crashes or severe garbage-collection overhead. All Rack applications processing multipart form submissions are affected. Versions 2.2.19, 3.1.17, and 3.2.2 enforce a reasonable size cap for non-file fields (e.g., 2 MiB). Workarounds include restricting maximum request body size at the web-server or proxy layer (e.g., Nginx `client_max_body_size`) and validating and rejecting unusually large form fields at the application level.

Rack is a modular Ruby web server interface. In versions prior to 2.2.19, 3.1.17, and 3.2.2, `Rack::Multipart::Parser` buffers the entire multipart preamble (bytes before the first boundary) in memory without any size limit. A client can send a large preamble followed by a valid boundary, causing significant memory use and potential process termination due to out-of-memory (OOM) conditions. Remote attackers can trigger large transient memory spikes by including a long preamble in multipart/form-data requests. The impact scales with allowed request sizes and concurrency, potentially causing worker crashes or severe slowdown due to garbage collection. Versions 2.2.19, 3.1.17, and 3.2.2 enforce a preamble size limit (e.g., 16 KiB) or discard preamble data entirely. Workarounds include limiting total request body size at the proxy or web server level and monitoring memory and set per-process limits to prevent OOM conditions.

A vulnerability was determined in Open Asset Import Library Assimp 6.0.2. Affected is the function Q3DImporter::InternReadFile of the file assimp/code/AssetLib/Q3D/Q3DLoader.cpp. This manipulation causes allocation of resources. The attack is restricted to local execution. The exploit has been publicly disclosed and may be utilized.

An uncontrolled resource consumption vulnerability has been reported to affect Qsync Central. If a remote attacker gains a user account, they can then exploit the vulnerability to launch a denial-of-service (DoS) attack. We have already fixed the vulnerability in the following version: Qsync Central 5.0.0.2 ( 2025/07/31 ) and later

A TCL Smart TV running a vulnerable UPnP/DLNA MediaRenderer implementation is affected by a remote, unauthenticated Denial of Service (DoS) condition. By sending a flood of malformed or oversized SetAVTransportURI SOAP requests to the UPnP control endpoint, an attacker can cause the device to become unresponsive. This denial persists as long as the attack continues and affects all forms of TV operation. Manual user control and even reboots do not restore functionality unless the flood stops.

Stalwart is a mail and collaboration server. Versions 0.13.3 and below contain an unbounded memory allocation vulnerability in the IMAP protocol parser which allows remote attackers to exhaust server memory, potentially triggering the system's out-of-memory (OOM) killer and causing a denial of service. The CommandParser implementation enforces size limits on its dynamic buffer in most parsing states, but several state handlers omit these validation checks. This issue is fixed in version 0.13.4. A workaround for this issue is to implement rate limiting and connection monitoring at the network level, however this does not provide complete protection.