Unlimited memory allocation in redis protocol parser in Apache bRPC (all versions < 1.14.1) on all platforms allows attackers to crash the service via network. Root Cause: In the bRPC Redis protocol parser code, memory for arrays or strings of corresponding sizes is allocated based on the integers read from the network. If the integer read from the network is too large, it may cause a bad alloc error and lead to the program crashing. Attackers can exploit this feature by sending special data packets to the bRPC service to carry out a denial-of-service attack on it. The bRPC 1.14.0 version tried to fix this issue by limited the memory allocation size, however, the limitation checking code is not well implemented that may cause integer overflow and evade such limitation. So the 1.14.0 version is also vulnerable, although the integer range that affect version 1.14.0 is different from that affect version < 1.14.0. Affected scenarios: Using bRPC as a Redis server to provide network services to untrusted clients, or using bRPC as a Redis client to call untrusted Redis services. How to Fix: we provide two methods, you can choose one of them: 1. Upgrade bRPC to version 1.14.1. 2. Apply this patch ( https://github.com/apache/brpc/pull/3050 ) manually. No matter you choose which method, you should note that the patch limits the maximum length of memory allocated for each time in the bRPC Redis parser. The default limit is 64M. If some of you redis request or response have a size larger than 64M, you might encounter error after upgrade. For such case, you can modify the gflag redis_max_allocation_size to set a larger limit.
A carefully crafted or corrupt PSD file can cause excessive memory usage in Apache Tika's PSDParser in versions 1.0-1.23.
ESI plugin does not have the limit for maximum inclusion depth, and that allows excessive memory consumption if malicious instructions are inserted. Users can use a new setting for the plugin (--max-inclusion-depth) to limit it. This issue affects Apache Traffic Server: from 10.0.0 through 10.0.5, from 9.0.0 through 9.2.10. Users are recommended to upgrade to version 9.2.11 or 10.0.6, which fixes the issue.
In Apache Thrift 0.9.3 to 0.13.0, malicious RPC clients could send short messages which would result in a large memory allocation, potentially leading to denial of service.
Some HTTP/2 implementations are vulnerable to a settings flood, potentially leading to a denial of service. The attacker sends a stream of SETTINGS frames to the peer. Since the RFC requires that the peer reply with one acknowledgement per SETTINGS frame, an empty SETTINGS frame is almost equivalent in behavior to a ping. Depending on how efficiently this data is queued, this can consume excess CPU, memory, or both.
Some HTTP/2 implementations are vulnerable to a reset flood, potentially leading to a denial of service. The attacker opens a number of streams and sends an invalid request over each stream that should solicit a stream of RST_STREAM frames from the peer. Depending on how the peer queues the RST_STREAM frames, this can consume excess memory, CPU, or both.
Some HTTP/2 implementations are vulnerable to ping floods, potentially leading to a denial of service. The attacker sends continual pings to an HTTP/2 peer, causing the peer to build an internal queue of responses. Depending on how efficiently this data is queued, this can consume excess CPU, memory, or both.
Some HTTP/2 implementations are vulnerable to resource loops, potentially leading to a denial of service. The attacker creates multiple request streams and continually shuffles the priority of the streams in a way that causes substantial churn to the priority tree. This can consume excess CPU.
Some HTTP/2 implementations are vulnerable to a flood of empty frames, potentially leading to a denial of service. The attacker sends a stream of frames with an empty payload and without the end-of-stream flag. These frames can be DATA, HEADERS, CONTINUATION and/or PUSH_PROMISE. The peer spends time processing each frame disproportionate to attack bandwidth. This can consume excess CPU.
Some HTTP/2 implementations are vulnerable to window size manipulation and stream prioritization manipulation, potentially leading to a denial of service. The attacker requests a large amount of data from a specified resource over multiple streams. They manipulate window size and stream priority to force the server to queue the data in 1-byte chunks. Depending on how efficiently this data is queued, this can consume excess CPU, memory, or both.
Some HTTP/2 implementations are vulnerable to unconstrained interal data buffering, potentially leading to a denial of service. The attacker opens the HTTP/2 window so the peer can send without constraint; however, they leave the TCP window closed so the peer cannot actually write (many of) the bytes on the wire. The attacker then sends a stream of requests for a large response object. Depending on how the servers queue the responses, this can consume excess memory, CPU, or both.
The HTTP/2 protocol allows a denial of service (server resource consumption) because request cancellation can reset many streams quickly, as exploited in the wild in August through October 2023.
An attacker, opening a HTTP/2 connection with an initial window size of 0, was able to block handling of that connection indefinitely in Apache HTTP Server. This could be used to exhaust worker resources in the server, similar to the well known "slow loris" attack pattern. This has been fixed in version 2.4.58, so that such connection are terminated properly after the configured connection timeout. This issue affects Apache HTTP Server: from 2.4.55 through 2.4.57. Users are recommended to upgrade to version 2.4.58, which fixes the issue.
In Apache Qpid Broker-J versions 6.1.0 through 6.1.4 (inclusive) the broker does not properly enforce a maximum frame size in AMQP 1.0 frames. A remote unauthenticated attacker could exploit this to cause the broker to exhaust all available memory and eventually terminate. Older AMQP protocols are not affected.
Apache Subversion's mod_dontdothat module and HTTP clients 1.4.0 through 1.8.16, and 1.9.0 through 1.9.4 are vulnerable to a denial-of-service attack caused by exponential XML entity expansion. The attack can cause the targeted process to consume an excessive amount of CPU resources or memory.
The stream_reqbody_cl function in mod_proxy_http.c in the mod_proxy module in the Apache HTTP Server before 2.3.3, when a reverse proxy is configured, does not properly handle an amount of streamed data that exceeds the Content-Length value, which allows remote attackers to cause a denial of service (CPU consumption) via crafted requests.
The mod_deflate module in Apache httpd 2.2.11 and earlier compresses large files until completion even after the associated network connection is closed, which allows remote attackers to cause a denial of service (CPU consumption).
Apache Airflow, in versions prior to 2.7.0, contains a security vulnerability that can be exploited by an authenticated user possessing Connection edit privileges. This vulnerability allows the user to access connection information and exploit the test connection feature by sending many requests, leading to a denial of service (DoS) condition on the server. Furthermore, malicious actors can leverage this vulnerability to establish harmful connections with the server. Users of Apache Airflow are strongly advised to upgrade to version 2.7.0 or newer to mitigate the risk associated with this vulnerability. Additionally, administrators are encouraged to review and adjust user permissions to restrict access to sensitive functionalities, reducing the attack surface.
The Security Team noticed that the termination condition of the for loop in the readExternal method is a controllable variable, which, if tampered with, may lead to CPU exhaustion. As a fix, we added an upper bound and termination condition in the read and write logic. We classify it as a "low-priority but useful improvement". SystemDS is a distributed system and needs to serialize/deserialize data but in many code paths (e.g., on Spark broadcast/shuffle or writing to sequence files) the byte stream is anyway protected by additional CRC fingerprints. In this particular case though, the number of decoders is upper-bounded by twice the number of columns, which means an attacker would need to modify two entries in the byte stream in a consistent manner. By adding these checks robustness was strictly improved with almost zero overhead. These code changes are available in versions higher than 2.2.1.
Apache Log4j2 2.0-beta9 through 2.15.0 (excluding security releases 2.12.2, 2.12.3, and 2.3.1) JNDI features used in configuration, log messages, and parameters do not protect against attacker controlled LDAP and other JNDI related endpoints. An attacker who can control log messages or log message parameters can execute arbitrary code loaded from LDAP servers when message lookup substitution is enabled. From log4j 2.15.0, this behavior has been disabled by default. From version 2.16.0 (along with 2.12.2, 2.12.3, and 2.3.1), this functionality has been completely removed. Note that this vulnerability is specific to log4j-core and does not affect log4net, log4cxx, or other Apache Logging Services projects.
The Apache HTTP Server, when accessed through a TCP connection with a large window size, allows remote attackers to cause a denial of service (network bandwidth consumption) via a Range header that specifies multiple copies of the same fragment. NOTE: the severity of this issue has been disputed by third parties, who state that the large window size required by the attack is not normally supported or configured by the server, or that a DDoS-style attack would accomplish the same goal
The Traffic Router component of the incubating Apache Traffic Control project is vulnerable to a Slowloris style Denial of Service attack. TCP connections made on the configured DNS port will remain in the ESTABLISHED state until the client explicitly closes the connection or Traffic Router is restarted. If connections remain in the ESTABLISHED state indefinitely and accumulate in number to match the size of the thread pool dedicated to processing DNS requests, the thread pool becomes exhausted. Once the thread pool is exhausted, Traffic Router is unable to service any DNS request, regardless of transport protocol.
In Apache SpamAssassin before 3.4.3, a message can be crafted in a way to use excessive resources. Upgrading to SA 3.4.3 as soon as possible is the recommended fix but details will not be shared publicly.
qpid-cpp: ACL policies only loaded if the acl-file option specified enabling DoS by consuming all available file descriptors
The deflate_in_filter function in mod_deflate.c in the mod_deflate module in the Apache HTTP Server before 2.4.10, when request body decompression is enabled, allows remote attackers to cause a denial of service (resource consumption) via crafted request data that decompresses to a much larger size.
Improper Input Validation, Uncontrolled Resource Consumption vulnerability in Apache Commons Compress in TAR parsing.This issue affects Apache Commons Compress: from 1.22 before 1.24.0. Users are recommended to upgrade to version 1.24.0, which fixes the issue. A third party can create a malformed TAR file by manipulating file modification times headers, which when parsed with Apache Commons Compress, will cause a denial of service issue via CPU consumption. In version 1.22 of Apache Commons Compress, support was added for file modification times with higher precision (issue # COMPRESS-612 [1]). The format for the PAX extended headers carrying this data consists of two numbers separated by a period [2], indicating seconds and subsecond precision (for example “1647221103.5998539”). The impacted fields are “atime”, “ctime”, “mtime” and “LIBARCHIVE.creationtime”. No input validation is performed prior to the parsing of header values. Parsing of these numbers uses the BigDecimal [3] class from the JDK which has a publicly known algorithmic complexity issue when doing operations on large numbers, causing denial of service (see issue # JDK-6560193 [4]). A third party can manipulate file time headers in a TAR file by placing a number with a very long fraction (300,000 digits) or a number with exponent notation (such as “9e9999999”) within a file modification time header, and the parsing of files with these headers will take hours instead of seconds, leading to a denial of service via exhaustion of CPU resources. This issue is similar to CVE-2012-2098 [5]. [1]: https://issues.apache.org/jira/browse/COMPRESS-612 [2]: https://pubs.opengroup.org/onlinepubs/9699919799/utilities/pax.html#tag_20_92_13_05 [3]: https://docs.oracle.com/javase/8/docs/api/java/math/BigDecimal.html [4]: https://bugs.openjdk.org/browse/JDK-6560193 [5]: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2012-2098 Only applications using CompressorStreamFactory class (with auto-detection of file types), TarArchiveInputStream and TarFile classes to parse TAR files are impacted. Since this code was introduced in v1.22, only that version and later versions are impacted.
The byterange filter in the Apache HTTP Server 1.3.x, 2.0.x through 2.0.64, and 2.2.x through 2.2.19 allows remote attackers to cause a denial of service (memory and CPU consumption) via a Range header that expresses multiple overlapping ranges, as exploited in the wild in August 2011, a different vulnerability than CVE-2007-0086.
User-controlled operations could have allowed Denial of Service in M-Files Server before 23.4.12528.1 due to uncontrolled memory consumption.
A Uncontrolled Resource Consumption vulnerability in rmt of SUSE Linux Enterprise High Performance Computing 15-ESPOS, SUSE Linux Enterprise High Performance Computing 15-LTSS, SUSE Linux Enterprise Module for Public Cloud 15-SP1, SUSE Linux Enterprise Module for Server Applications 15, SUSE Linux Enterprise Module for Server Applications 15-SP1, SUSE Linux Enterprise Server 15-LTSS, SUSE Linux Enterprise Server for SAP 15; openSUSE Leap 15.1 allows remote attackers to cause DoS against rmt by requesting migrations. This issue affects: SUSE Linux Enterprise High Performance Computing 15-ESPOS rmt-server versions prior to 2.5.2-3.26.1. SUSE Linux Enterprise High Performance Computing 15-LTSS rmt-server versions prior to 2.5.2-3.26.1. SUSE Linux Enterprise Module for Public Cloud 15-SP1 rmt-server versions prior to 2.5.2-3.9.1. SUSE Linux Enterprise Module for Server Applications 15 rmt-server versions prior to 2.5.2-3.26.1. SUSE Linux Enterprise Module for Server Applications 15-SP1 rmt-server versions prior to 2.5.2-3.9.1. SUSE Linux Enterprise Server 15-LTSS rmt-server versions prior to 2.5.2-3.26.1. SUSE Linux Enterprise Server for SAP 15 rmt-server versions prior to 2.5.2-3.26.1. openSUSE Leap 15.1 rmt-server versions prior to 2.5.2-lp151.2.9.1.
CWE-400: Uncontrolled Resource Consumption vulnerability exists that could cause Denial of Service when an authenticated malicious user sends manipulated HTTPS Content-Length header to the webserver.
Vulnerability in the Oracle WebLogic Server product of Oracle Fusion Middleware (component: Core). Supported versions that are affected are 12.2.1.4.0, 14.1.1.0.0 and 14.1.2.0.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle WebLogic Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle WebLogic Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
User-controlled operations could have allowed Denial of Service in M-Files Server before 23.4.12528.1 due to uncontrolled memory consumption for a scheduled job.
An uncontrolled resource consumption vulnerability was discovered in HAProxy which could crash the service. This issue could allow an authenticated remote attacker to run a specially crafted malicious server in an OpenShift cluster. The biggest impact is to availability.
An authenticated attacker can compromise the availability of the device via the network
A user-supplied regular expression in Jenkins Build Failure Analyzer Plugin 1.24.1 and earlier was processed in a way that wasn't interruptible, allowing attackers to have Jenkins evaluate a regular expression without the ability to interrupt this process.
An issue was discovered on Weidmueller IE-SW-VL05M 3.6.6 Build 16102415, IE-SW-VL08MT 3.5.2 Build 16102415, and IE-SW-PL10M 3.3.16 Build 16102416 devices. Remote authenticated users can crash a device with a special packet because of Uncontrolled Resource Consumption.
GitLab 12.2.3 contains a security vulnerability that allows a user to affect the availability of the service through a Denial of Service attack in Issue Comments.
A denial of service exists in gitlab <v12.3.2, <v12.2.6, and <v12.1.10 that would let an attacker bypass input validation in markdown fields take down the affected page.
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 4.5.0.7 ( 2025/04/23 ) and later
Uncontrolled resource consumption in ekorRCI, allowing an attacker with low-privileged access to the web server to send continuous legitimate web requests to a functionality that is not properly validated, in order to cause a denial of service (DoS) on the device.
A vulnerability in the configuration of the Pluggable Authentication Module (PAM) used in Cisco Firepower Threat Defense (FTD) Software, Cisco Firepower Management Center (FMC) Software, and Cisco FXOS Software could allow an authenticated, remote attacker to cause a denial of service (DoS) condition. The vulnerability is due to improper resource management in the context of user session management. An attacker could exploit this vulnerability by connecting to an affected system and performing many simultaneous successful Secure Shell (SSH) logins. A successful exploit could allow the attacker to exhaust system resources and cause the device to reload, resulting in a DoS condition. To exploit this vulnerability, the attacker needs valid user credentials on the system.
lakeFS is an open-source tool that transforms your object storage into a Git-like repository. In affected versions an authenticated user can crash lakeFS by exhausting server memory. This is an authenticated denial-of-service issue. This problem has been patched in version 1.50.0. Users on versions 1.49.1 and below are affected. Users are advised to upgrade. Users unable to upgrade should either set the environment variable `LAKEFS_BLOCKSTORE_S3_DISABLE_PRE_SIGNED_MULTIPART` to `true` or configure the `disable_pre_signed_multipart` key to true in their config yaml.
lodash prior to 4.17.11 is affected by: CWE-400: Uncontrolled Resource Consumption. The impact is: Denial of service. The component is: Date handler. The attack vector is: Attacker provides very long strings, which the library attempts to match using a regular expression. The fixed version is: 4.17.11.
In Splunk Enterprise versions below 8.2.9, 8.1.12, and 9.0.2, sending a malformed file through the Splunk-to-Splunk (S2S) or HTTP Event Collector (HEC) protocols to an indexer results in a blockage or denial-of-service preventing further indexing.
In Splunk Enterprise versions below 8.1.12, 8.2.9, and 9.0.2, a remote user who can create search macros and schedule search reports can cause a denial of service through the use of specially crafted search macros.
A flaw was found in freeradius. A malicious RADIUS client or home server can send a malformed abinary attribute which can cause the server to crash.
Mattermost fails to enforce character limits in all possible notification props allowing an attacker to send a really long value for a notification_prop resulting in the server consuming an abnormal quantity of computing resources and possibly becoming temporarily unavailable for its users.
In BIG-IP versions 17.0.x before 17.0.0.1, 16.1.x before 16.1.3.1, 15.1.x before 15.1.7, 14.1.x before 14.1.5.1, and all versions of 13.1.x, and BIG-IQ all versions of 8.x and 7.x, an authenticated iControl REST user can cause an increase in memory resource utilization, via undisclosed requests.
Those using Jettison to parse untrusted XML or JSON data may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by Out of memory. This effect may support a denial of service attack.
A denial-of-service vulnerability could allow an authenticated user to trigger an internal service restart via a specially crafted API request.