Uncontrolled Resource Consumption

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.Show less

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.Show less

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.Show less

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.Show less

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.Show less

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.Show less

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`).Show less

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.Show less

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.Show less

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`).Show less

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.Show less

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.Show less

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.Show less

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 laterShow less

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.Show less

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.Show less

MANTRA is a purpose-built RWA Layer 1 Blockchain, capable of adherence to real world regulatory requirements. Versions 4.0.1 and below do not enforce the tx gas limit in its send hooks. Send hooks can spend more gas than what remains in tx, combined with recursive calls in the wasm contract, potentially amplifying the gas consumption exponentially. This is fixed in version 4.0.2.Show less

In Splunk Enterprise versions below 10.0.1, 9.4.4, 9.3.6, and 9.2.8, and Splunk Cloud Platform versions below 9.3.2411.108, 9.3.2408.118 and 9.2.2406.123, a user who holds a role that contains the high-privilege capability `change_authentication`, could send multiple LDAP bind requests to a specific internal endpoint, resulting in high server CPU usage, which could potentially lead to a denial of service (DoS) until the Splunk Enterprise instance is restarted. See https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.0/manage-splunk-platform-users-and-roles/define-roles-on-the-splunk-platform-with-capabilities and https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.0/use-ldap-as-an-authentication-scheme/configure-ldap-with-splunk-web#cfe47e31_007f_460d_8b3d_8505ffc3f0dd__Configure_LDAP_with_Splunk_Web for more information.Show less