Vulnerabilities (CVE)

Crossplane is a framework for building cloud native control planes without needing to write code. In versions prior to 1.11.5, 1.12.3, and 1.13.0, a high-privileged user could create a Package referencing an arbitrarily large image containing that Crossplane would then parse, possibly resulting in exhausting all the available memory and therefore in the container being OOMKilled. The impact is limited due to the high privileges required to be able to create the Package and the eventually consist ... Crossplane is a framework for building cloud native control planes without needing to write code. In versions prior to 1.11.5, 1.12.3, and 1.13.0, a high-privileged user could create a Package referencing an arbitrarily large image containing that Crossplane would then parse, possibly resulting in exhausting all the available memory and therefore in the container being OOMKilled. The impact is limited due to the high privileges required to be able to create the Package and the eventually consistency nature of controller. This issue is fixed in versions 1.11.5, 1.12.3, and 1.13.0.

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Faktory is a language-agnostic persistent background job server. Prior to version 1.8.0, the Faktory web dashboard can suffer from denial of service by a crafted malicious url query param `days`. The vulnerability is related to how the backend reads the `days` URL query parameter in the Faktory web dashboard. The value is used directly without any checks to create a string slice. If a very large value is provided, the backend server ends up using a significant amount of memory and causing it to ... Faktory is a language-agnostic persistent background job server. Prior to version 1.8.0, the Faktory web dashboard can suffer from denial of service by a crafted malicious url query param `days`. The vulnerability is related to how the backend reads the `days` URL query parameter in the Faktory web dashboard. The value is used directly without any checks to create a string slice. If a very large value is provided, the backend server ends up using a significant amount of memory and causing it to crash. Version 1.8.0 fixes this issue.

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Products.CMFCore are the key framework services for the Zope Content Management Framework (CMF). The use of Python's marshal module to handle unchecked input in a public method on `PortalFolder` objects can lead to an unauthenticated denial of service and crash situation. The code in question is exposed by all portal software built on top of `Products.CMFCore`, such as Plone. All deployments are vulnerable. The code has been fixed in `Products.CMFCore` version 3.2.

A vulnerability has been identified in SIMATIC MV540 H (All versions < V3.3.4), SIMATIC MV540 S (All versions < V3.3.4), SIMATIC MV550 H (All versions < V3.3.4), SIMATIC MV550 S (All versions < V3.3.4), SIMATIC MV560 U (All versions < V3.3.4), SIMATIC MV560 X (All versions < V3.3.4). The result synchronization server of the affected products contains a vulnerability that may lead to a denial of service condition. An attacker may cause a denial of service situation of all socket-based communica ... A vulnerability has been identified in SIMATIC MV540 H (All versions < V3.3.4), SIMATIC MV540 S (All versions < V3.3.4), SIMATIC MV550 H (All versions < V3.3.4), SIMATIC MV550 S (All versions < V3.3.4), SIMATIC MV560 U (All versions < V3.3.4), SIMATIC MV560 X (All versions < V3.3.4). The result synchronization server of the affected products contains a vulnerability that may lead to a denial of service condition. An attacker may cause a denial of service situation of all socket-based communication of the affected products if the result server is enabled.

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Mastodon is a free, open-source social network server based on ActivityPub. When performing outgoing HTTP queries, Mastodon sets a timeout on individual read operations. Prior to versions 3.5.9, 4.0.5, and 4.1.3, a malicious server can indefinitely extend the duration of the response through slowloris-type attacks. This vulnerability can be used to keep all Mastodon workers busy for an extended duration of time, leading to the server becoming unresponsive. Versions 3.5.9, 4.0.5, and 4.1.3 contai ... Mastodon is a free, open-source social network server based on ActivityPub. When performing outgoing HTTP queries, Mastodon sets a timeout on individual read operations. Prior to versions 3.5.9, 4.0.5, and 4.1.3, a malicious server can indefinitely extend the duration of the response through slowloris-type attacks. This vulnerability can be used to keep all Mastodon workers busy for an extended duration of time, leading to the server becoming unresponsive. Versions 3.5.9, 4.0.5, and 4.1.3 contain a patch for this issue.

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jackson-databind through 2.15.2 allows attackers to cause a denial of service or other unspecified impact via a crafted object that uses cyclic dependencies. NOTE: the vendor's perspective is that this is not a valid vulnerability report, because the steps of constructing a cyclic data structure and trying to serialize it cannot be achieved by an external attacker.

An improper resource allocation vulnerability exists in the OAS Engine configuration management functionality of Open Automation Software OAS Platform v18.00.0072. A specially crafted series of network requests can lead to creation of an arbitrary directory. An attacker can send a sequence of requests to trigger this vulnerability.

Netty is an asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. The `SniHandler` can allocate up to 16MB of heap for each channel during the TLS handshake. When the handler or the channel does not have an idle timeout, it can be used to make a TCP server using the `SniHandler` to allocate 16MB of heap. The `SniHandler` class is a handler that waits for the TLS handshake to configure a `SslHandler` according to ... Netty is an asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. The `SniHandler` can allocate up to 16MB of heap for each channel during the TLS handshake. When the handler or the channel does not have an idle timeout, it can be used to make a TCP server using the `SniHandler` to allocate 16MB of heap. The `SniHandler` class is a handler that waits for the TLS handshake to configure a `SslHandler` according to the indicated server name by the `ClientHello` record. For this matter it allocates a `ByteBuf` using the value defined in the `ClientHello` record. Normally the value of the packet should be smaller than the handshake packet but there are not checks done here and the way the code is written, it is possible to craft a packet that makes the `SslClientHelloHandler`. This vulnerability has been fixed in version 4.1.94.Final.

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snappy-java is a fast compressor/decompressor for Java. Due to use of an unchecked chunk length, an unrecoverable fatal error can occur in versions prior to 1.1.10.1. The code in the function hasNextChunk in the fileSnappyInputStream.java checks if a given stream has more chunks to read. It does that by attempting to read 4 bytes. If it wasn’t possible to read the 4 bytes, the function returns false. Otherwise, if 4 bytes were available, the code treats them as the length of the next chunk. In ... snappy-java is a fast compressor/decompressor for Java. Due to use of an unchecked chunk length, an unrecoverable fatal error can occur in versions prior to 1.1.10.1. The code in the function hasNextChunk in the fileSnappyInputStream.java checks if a given stream has more chunks to read. It does that by attempting to read 4 bytes. If it wasn’t possible to read the 4 bytes, the function returns false. Otherwise, if 4 bytes were available, the code treats them as the length of the next chunk. In the case that the `compressed` variable is null, a byte array is allocated with the size given by the input data. Since the code doesn’t test the legality of the `chunkSize` variable, it is possible to pass a negative number (such as 0xFFFFFFFF which is -1), which will cause the code to raise a `java.lang.NegativeArraySizeException` exception. A worse case would happen when passing a huge positive value (such as 0x7FFFFFFF), which would raise the fatal `java.lang.OutOfMemoryError` error. Version 1.1.10.1 contains a patch for this issue.

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CometBFT is a Byzantine Fault Tolerant (BFT) middleware that takes a state transition machine and replicates it on many machines. An internal modification made in versions 0.34.28 and 0.37.1 to the way struct `PeerState` is serialized to JSON introduced a deadlock when new function MarshallJSON is called. This function can be called from two places. The first is via logs, setting the `consensus` logging module to "debug" level (should not happen in production), and setting the log output format ... CometBFT is a Byzantine Fault Tolerant (BFT) middleware that takes a state transition machine and replicates it on many machines. An internal modification made in versions 0.34.28 and 0.37.1 to the way struct `PeerState` is serialized to JSON introduced a deadlock when new function MarshallJSON is called. This function can be called from two places. The first is via logs, setting the `consensus` logging module to "debug" level (should not happen in production), and setting the log output format to JSON. The second is via RPC `dump_consensus_state`. Case 1, which should not be hit in production, will eventually hit the deadlock in most goroutines, effectively halting the node. In case 2, only the data structures related to the first peer will be deadlocked, together with the thread(s) dealing with the RPC request(s). This means that only one of the channels of communication to the node's peers will be blocked. Eventually the peer will timeout and excluded from the list (typically after 2 minutes). The goroutines involved in the deadlock will not be garbage collected, but they will not interfere with the system after the peer is excluded. The theoretical worst case for case 2, is a network with only two validator nodes. In this case, each of the nodes only has one `PeerState` struct. If `dump_consensus_state` is called in either node (or both), the chain will halt until the peer connections time out, after which the nodes will reconnect (with different `PeerState` structs) and the chain will progress again. Then, the same process can be repeated. As the number of nodes in a network increases, and thus, the number of peer struct each node maintains, the possibility of reproducing the perturbation visible with two nodes decreases. Only the first `PeerState` struct will deadlock, and not the others (RPC `dump_consensus_state` accesses them in a for loop, so the deadlock at the first iteration causes the rest of the iterations of that "for" loop to never be reached). This regression was fixed in versions 0.34.29 and 0.37.2. Some workarounds are available. For case 1 (hitting the deadlock via logs), either don't set the log output to "json", leave at "plain", or don't set the consensus logging module to "debug", leave it at "info" or higher. For case 2 (hitting the deadlock via RPC `dump_consensus_state`), do not expose `dump_consensus_state` RPC endpoint to the public internet (e.g., via rules in one's nginx setup).

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An allocation of resources without limits or throttling vulnerability in the Schweitzer Engineering Laboratories SEL-451 could allow a remote authenticated attacker to make the system unavailable for an indefinite amount of time. See product Instruction Manual Appendix A dated 20230830 for more details.

gRPC contains a vulnerability that allows hpack table accounting errors could lead to unwanted disconnects between clients and servers in exceptional cases/ Three vectors were found that allow the following DOS attacks: - Unbounded memory buffering in the HPACK parser - Unbounded CPU consumption in the HPACK parser The unbounded CPU consumption is down to a copy that occurred per-input-block in the parser, and because that could be unbounded due to the memory copy bug we end up with an O(n^2) ... gRPC contains a vulnerability that allows hpack table accounting errors could lead to unwanted disconnects between clients and servers in exceptional cases/ Three vectors were found that allow the following DOS attacks: - Unbounded memory buffering in the HPACK parser - Unbounded CPU consumption in the HPACK parser The unbounded CPU consumption is down to a copy that occurred per-input-block in the parser, and because that could be unbounded due to the memory copy bug we end up with an O(n^2) parsing loop, with n selected by the client. The unbounded memory buffering bugs: - The header size limit check was behind the string reading code, so we needed to first buffer up to a 4 gigabyte string before rejecting it as longer than 8 or 16kb. - HPACK varints have an encoding quirk whereby an infinite number of 0’s can be added at the start of an integer. gRPC’s hpack parser needed to read all of them before concluding a parse. - gRPC’s metadata overflow check was performed per frame, so that the following sequence of frames could cause infinite buffering: HEADERS: containing a: 1 CONTINUATION: containing a: 2 CONTINUATION: containing a: 3 etc…

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MeterSphere is an open source continuous testing platform. Version 2.9.1 and prior are vulnerable to denial of service. ​The `checkUserPassword` method is used to check whether the password provided by the user matches the password saved in the database, and the `CodingUtil.md5` method is used to encrypt the original password with MD5 to ensure that the password will not be saved in plain text when it is stored. If a user submits a very long password when logging in, the system will be forced to ... MeterSphere is an open source continuous testing platform. Version 2.9.1 and prior are vulnerable to denial of service. ​The `checkUserPassword` method is used to check whether the password provided by the user matches the password saved in the database, and the `CodingUtil.md5` method is used to encrypt the original password with MD5 to ensure that the password will not be saved in plain text when it is stored. If a user submits a very long password when logging in, the system will be forced to execute the long password MD5 encryption process, causing the server CPU and memory to be exhausted, thereby causing a denial of service attack on the server. This issue is fixed in version 2.10.0-lts with a maximum password length.

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Wyse Management Suite versions prior to 4.0 contain a denial-of-service vulnerability. An authenticated malicious user can flood the configured SMTP server with numerous requests in order to deny access to the system.

An Allocation of Resources Without Limits or Throttling vulnerability in SUSE k3s allows attackers with access to K3s servers' apiserver/supervisor port (TCP 6443) cause denial of service. This issue affects k3s: from v1.24.0 before v1.24.17+k3s1, from v1.25.0 before v1.25.13+k3s1, from v1.26.0 before v1.26.8+k3s1, from sev1.27.0 before v1.27.5+k3s1, from v1.28.0 before v1.28.1+k3s1.

A Allocation of Resources Without Limits or Throttling vulnerability in SUSE RKE2 allows attackers with access to K3s servers apiserver/supervisor port (TCP 6443) cause denial of service. This issue affects RKE2: from 1.24.0 before 1.24.17+rke2r1, from v1.25.0 before v1.25.13+rke2r1, from v1.26.0 before v1.26.8+rke2r1, from v1.27.0 before v1.27.5+rke2r1, from v1.28.0 before v1.28.1+rke2r1.

Rekor is an open source software supply chain transparency log. Rekor prior to version 1.1.1 may crash due to out of memory (OOM) conditions caused by reading archive metadata files into memory without checking their sizes first. Verification of a JAR file submitted to Rekor can cause an out of memory crash if files within the META-INF directory of the JAR are sufficiently large. Parsing of an APK file submitted to Rekor can cause an out of memory crash if the .SIGN or .PKGINFO files within the ... Rekor is an open source software supply chain transparency log. Rekor prior to version 1.1.1 may crash due to out of memory (OOM) conditions caused by reading archive metadata files into memory without checking their sizes first. Verification of a JAR file submitted to Rekor can cause an out of memory crash if files within the META-INF directory of the JAR are sufficiently large. Parsing of an APK file submitted to Rekor can cause an out of memory crash if the .SIGN or .PKGINFO files within the APK are sufficiently large. The OOM crash has been patched in Rekor version 1.1.1. There are no known workarounds.

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Every `named` instance configured to run as a recursive resolver maintains a cache database holding the responses to the queries it has recently sent to authoritative servers. The size limit for that cache database can be configured using the `max-cache-size` statement in the configuration file; it defaults to 90% of the total amount of memory available on the host. When the size of the cache reaches 7/8 of the configured limit, a cache-cleaning algorithm starts to remove expired and/or least-re ... Every `named` instance configured to run as a recursive resolver maintains a cache database holding the responses to the queries it has recently sent to authoritative servers. The size limit for that cache database can be configured using the `max-cache-size` statement in the configuration file; it defaults to 90% of the total amount of memory available on the host. When the size of the cache reaches 7/8 of the configured limit, a cache-cleaning algorithm starts to remove expired and/or least-recently used RRsets from the cache, to keep memory use below the configured limit. It has been discovered that the effectiveness of the cache-cleaning algorithm used in `named` can be severely diminished by querying the resolver for specific RRsets in a certain order, effectively allowing the configured `max-cache-size` limit to be significantly exceeded. This issue affects BIND 9 versions 9.11.0 through 9.16.41, 9.18.0 through 9.18.15, 9.19.0 through 9.19.13, 9.11.3-S1 through 9.16.41-S1, and 9.18.11-S1 through 9.18.15-S1.

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Allocation of Resources Without Limits or Throttling in GitHub repository froxlor/froxlor prior to 2.0.16.

Pfsense CE version 2.6.0 is vulnerable to No rate limit which can lead to an attacker creating multiple malicious users in firewall.

The TIFF decoder does not place a limit on the size of compressed tile data. A maliciously-crafted image can exploit this to cause a small image (both in terms of pixel width/height, and encoded size) to make the decoder decode large amounts of compressed data, consuming excessive memory and CPU.

An Improperly Controlled Sequential Memory Allocation vulnerability in the Juniper Networks Deep Packet Inspection-Decoder (JDPI-Decoder) Application Signature component of Junos OS's AppID service on SRX Series devices will stop the JDPI-Decoder from identifying dynamic application traffic, allowing an unauthenticated network-based attacker to send traffic to the target device using the JDPI-Decoder, designed to inspect dynamic application traffic and take action upon this traffic, to instead b ... An Improperly Controlled Sequential Memory Allocation vulnerability in the Juniper Networks Deep Packet Inspection-Decoder (JDPI-Decoder) Application Signature component of Junos OS's AppID service on SRX Series devices will stop the JDPI-Decoder from identifying dynamic application traffic, allowing an unauthenticated network-based attacker to send traffic to the target device using the JDPI-Decoder, designed to inspect dynamic application traffic and take action upon this traffic, to instead begin to not take action and to pass the traffic through. An example session can be seen by running the following command and evaluating the output. user@device# run show security flow session source-prefix <address/mask> extensive Session ID: <session ID>, Status: Normal, State: Active Policy name: <name of policy> Dynamic application: junos:UNKNOWN, <<<<< LOOK HERE Please note, the JDPI-Decoder and the AppID SigPack are both affected and both must be upgraded along with the operating system to address the matter. By default, none of this is auto-enabled for automatic updates. This issue affects: Juniper Networks any version of the JDPI-Decoder Engine prior to version 5.7.0-47 with the JDPI-Decoder enabled using any version of the AppID SigPack prior to version 1.550.2-31 (SigPack 3533) on Junos OS on SRX Series: All versions prior to 19.1R3-S10; 19.2 versions prior to 19.2R3-S7; 19.3 versions prior to 19.3R3-S8; 19.4 versions prior to 19.4R3-S11; 20.1 version 20.1R1 and later versions prior to 20.2R3-S7; 20.3 version 20.3R1 and later versions prior to 20.4R3-S6; 21.1 versions prior to 21.1R3-S5; 21.2 versions prior to 21.2R3-S4; 21.3 versions prior to 21.3R3-S3; 21.4 versions prior to 21.4R3-S3; 22.1 versions prior to 22.1R3-S1; 22.2 versions prior to 22.2R2-S1, 22.2R3; 22.3 versions prior to 22.3R1-S2, 22.3R2;

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By sending a specific reset UDS request via OBDII port of Skoda vehicles, it is possible to cause vehicle engine shutdown and denial of service of other vehicle components even when the vehicle is moving at a high speed. No safety critical functions affected. 

In GraphQL Java (aka graphql-java) before 20.1, an attacker can send a crafted GraphQL query that causes stack consumption. The fixed versions are 20.1, 19.4, 18.4, 17.5, and 0.0.0-2023-03-20T01-49-44-80e3135.

Wagtail is an open source content management system built on Django. Prior to versions 4.1.4 and 4.2.2, a memory exhaustion bug exists in Wagtail's handling of uploaded images and documents. For both images and documents, files are loaded into memory during upload for additional processing. A user with access to upload images or documents through the Wagtail admin interface could upload a file so large that it results in a crash of denial of service. The vulnerability is not exploitable by an o ... Wagtail is an open source content management system built on Django. Prior to versions 4.1.4 and 4.2.2, a memory exhaustion bug exists in Wagtail's handling of uploaded images and documents. For both images and documents, files are loaded into memory during upload for additional processing. A user with access to upload images or documents through the Wagtail admin interface could upload a file so large that it results in a crash of denial of service. The vulnerability is not exploitable by an ordinary site visitor without access to the Wagtail admin. It can only be exploited by admin users with permission to upload images or documents. Image uploads are restricted to 10MB by default, however this validation only happens on the frontend and on the backend after the vulnerable code. Patched versions have been released as Wagtail 4.1.4 and Wagtail 4.2.2). Site owners who are unable to upgrade to the new versions are encouraged to add extra protections outside of Wagtail to limit the size of uploaded files.

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PDFio is a C library for reading and writing PDF files. In versions 1.1.0 and prior, a denial of service vulnerability exists in the pdfio parser. Crafted pdf files can cause the program to run at 100% utilization and never terminate. This is different from CVE-2023-24808. A patch for this issue is available in version 1.1.1.

Any request send to a Netgear Nighthawk Wifi6 Router (RAX30)'s web service containing a “Content-Type” of “multipartboundary=” will result in the request body being written to “/tmp/mulipartFile” on the device itself. A sufficiently large file will cause device resources to be exhausted, resulting in the device becoming unusable until it is rebooted.

The crewjam/saml go library contains a partial implementation of the SAML standard in golang. Prior to version 0.4.13, the package's use of `flate.NewReader` does not limit the size of the input. The user can pass more than 1 MB of data in the HTTP request to the processing functions, which will be decompressed server-side using the Deflate algorithm. Therefore, after repeating the same request multiple times, it is possible to achieve a reliable crash since the operating system kills the proces ... The crewjam/saml go library contains a partial implementation of the SAML standard in golang. Prior to version 0.4.13, the package's use of `flate.NewReader` does not limit the size of the input. The user can pass more than 1 MB of data in the HTTP request to the processing functions, which will be decompressed server-side using the Deflate algorithm. Therefore, after repeating the same request multiple times, it is possible to achieve a reliable crash since the operating system kills the process. This issue is patched in version 0.4.13.

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Discourse is an open-source discussion platform. Prior to version 3.0.2 of the `stable` branch and version 3.1.0.beta3 of the `beta` and `tests-passed` branches, a user logged as an administrator can request backups multiple times, which will eat up all the connections to the DB. If this is done on a site using multisite, then it can affect the whole cluster. The vulnerability is patched in version 3.0.2 of the `stable` branch and version 3.1.0.beta3 of the `beta` and `tests-passed` branches. Th ... Discourse is an open-source discussion platform. Prior to version 3.0.2 of the `stable` branch and version 3.1.0.beta3 of the `beta` and `tests-passed` branches, a user logged as an administrator can request backups multiple times, which will eat up all the connections to the DB. If this is done on a site using multisite, then it can affect the whole cluster. The vulnerability is patched in version 3.0.2 of the `stable` branch and version 3.1.0.beta3 of the `beta` and `tests-passed` branches. There are no known workarounds.

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`silverstripe/graphql` serves Silverstripe data as GraphQL representations. In versions 4.2.2 and 4.1.1, an attacker could use a specially crafted graphql query to execute a denial of service attack against a website which has a publicly exposed graphql endpoint. This mostly affects websites with particularly large/complex graphql schemas. Users should upgrade to `silverstripe/graphql` 4.2.3 or 4.1.2 to remedy the vulnerability.

OpenSIPS is a Session Initiation Protocol (SIP) server implementation. Prior to versions 3.1.8 and 3.2.5, OpenSIPS crashes when a malformed SDP body is sent multiple times to an OpenSIPS configuration that makes use of the `stream_process` function. This issue was discovered during coverage guided fuzzing of the function `codec_delete_except_re`. By abusing this vulnerability, an attacker is able to crash the server. It affects configurations containing functions that rely on the affected code, ... OpenSIPS is a Session Initiation Protocol (SIP) server implementation. Prior to versions 3.1.8 and 3.2.5, OpenSIPS crashes when a malformed SDP body is sent multiple times to an OpenSIPS configuration that makes use of the `stream_process` function. This issue was discovered during coverage guided fuzzing of the function `codec_delete_except_re`. By abusing this vulnerability, an attacker is able to crash the server. It affects configurations containing functions that rely on the affected code, such as the function `codec_delete_except_re`. This issue has been fixed in version 3.1.8 and 3.2.5.

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IBM Counter Fraud Management for Safer Payments 6.1.0.00, 6.2.0.00, 6.3.0.00 through 6.3.1.03, 6.4.0.00 through 6.4.2.02 and 6.5.0.00 does not properly allocate resources without limits or throttling which could allow a remote attacker to cause a denial of service. IBM X-Force ID: 249190.

IBM Watson CP4D Data Stores 4.6.0 does not properly allocate resources without limits or throttling which could allow a remote attacker with information specific to the system to cause a denial of service. IBM X-Force ID: 248924.

Envoy is an open source edge and service proxy designed for cloud-native applications. Prior to versions 1.26.0, 1.25.3, 1.24.4, 1.23.6, and 1.22.9, the Lua filter is vulnerable to denial of service. Attackers can send large request bodies for routes that have Lua filter enabled and trigger crashes. As of versions versions 1.26.0, 1.25.3, 1.24.4, 1.23.6, and 1.22.9, Envoy no longer invokes the Lua coroutine if the filter has been reset. As a workaround for those whose Lua filter is buffering al ... Envoy is an open source edge and service proxy designed for cloud-native applications. Prior to versions 1.26.0, 1.25.3, 1.24.4, 1.23.6, and 1.22.9, the Lua filter is vulnerable to denial of service. Attackers can send large request bodies for routes that have Lua filter enabled and trigger crashes. As of versions versions 1.26.0, 1.25.3, 1.24.4, 1.23.6, and 1.22.9, Envoy no longer invokes the Lua coroutine if the filter has been reset. As a workaround for those whose Lua filter is buffering all requests/ responses, mitigate by using the buffer filter to avoid triggering the local reply in the Lua filter.

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Jetty is a java based web server and servlet engine. In affected versions servlets with multipart support (e.g. annotated with `@MultipartConfig`) that call `HttpServletRequest.getParameter()` or `HttpServletRequest.getParts()` may cause `OutOfMemoryError` when the client sends a multipart request with a part that has a name but no filename and very large content. This happens even with the default settings of `fileSizeThreshold=0` which should stream the whole part content to disk. An attacker ... Jetty is a java based web server and servlet engine. In affected versions servlets with multipart support (e.g. annotated with `@MultipartConfig`) that call `HttpServletRequest.getParameter()` or `HttpServletRequest.getParts()` may cause `OutOfMemoryError` when the client sends a multipart request with a part that has a name but no filename and very large content. This happens even with the default settings of `fileSizeThreshold=0` which should stream the whole part content to disk. An attacker client may send a large multipart request and cause the server to throw `OutOfMemoryError`. However, the server may be able to recover after the `OutOfMemoryError` and continue its service -- although it may take some time. This issue has been patched in versions 9.4.51, 10.0.14, and 11.0.14. Users are advised to upgrade. Users unable to upgrade may set the multipart parameter `maxRequestSize` which must be set to a non-negative value, so the whole multipart content is limited (although still read into memory).

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ReportPortal is an AI-powered test automation platform. Prior to version 5.10.0 of the `com.epam.reportportal:service-api` module, corresponding to ReportPortal version 23.2, the ReportPortal database becomes unstable and reporting almost fully stops except for small launches with approximately 1 test inside when the test_item.path field is exceeded the allowable `ltree` field type indexing limit (path length>=120, approximately recursive nesting of the nested steps). REINDEX INDEX path_gist_idx ... ReportPortal is an AI-powered test automation platform. Prior to version 5.10.0 of the `com.epam.reportportal:service-api` module, corresponding to ReportPortal version 23.2, the ReportPortal database becomes unstable and reporting almost fully stops except for small launches with approximately 1 test inside when the test_item.path field is exceeded the allowable `ltree` field type indexing limit (path length>=120, approximately recursive nesting of the nested steps). REINDEX INDEX path_gist_idx and path_idx aren't helped. The problem was fixed in `com.epam.reportportal:service-api` module version 5.10.0 (product release 23.2), where the maximum number of nested elements were programmatically limited. A workaround is available. After deletion of the data with long paths, and reindexing both indexes (path_gist_idx and path_idx), the database becomes stable and ReportPortal works properly.

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notation-go is a collection of libraries for supporting Notation sign, verify, push, and pull of oci artifacts. Prior to version 1.0.0-rc.3, notation-go users will find their application using excessive memory when verifying signatures. The application will be killed, and thus availability is impacted. The problem has been patched in the release v1.0.0-rc.3. Some workarounds are available. Users can review their own trust policy file and check if the identity string contains `=#`. Meanwhile, use ... notation-go is a collection of libraries for supporting Notation sign, verify, push, and pull of oci artifacts. Prior to version 1.0.0-rc.3, notation-go users will find their application using excessive memory when verifying signatures. The application will be killed, and thus availability is impacted. The problem has been patched in the release v1.0.0-rc.3. Some workarounds are available. Users can review their own trust policy file and check if the identity string contains `=#`. Meanwhile, users should only put trusted certificates in their trust stores referenced by their own trust policy files, and make sure the `authenticity` validation is set to `enforce`.

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Starlite is an Asynchronous Server Gateway Interface (ASGI) framework. Prior to version 1.5.2, the request body parsing in `starlite` allows a potentially unauthenticated attacker to consume a large amount of CPU time and RAM. The multipart body parser processes an unlimited number of file parts and an unlimited number of field parts. This is a remote, potentially unauthenticated Denial of Service vulnerability. This vulnerability affects applications with a request handler that accepts a `Body( ... Starlite is an Asynchronous Server Gateway Interface (ASGI) framework. Prior to version 1.5.2, the request body parsing in `starlite` allows a potentially unauthenticated attacker to consume a large amount of CPU time and RAM. The multipart body parser processes an unlimited number of file parts and an unlimited number of field parts. This is a remote, potentially unauthenticated Denial of Service vulnerability. This vulnerability affects applications with a request handler that accepts a `Body(media_type=RequestEncodingType.MULTI_PART)`. The large amount of CPU time required for processing requests can block all available worker processes and significantly delay or slow down the processing of legitimate user requests. The large amount of RAM accumulated while processing requests can lead to Out-Of-Memory kills. Complete DoS is achievable by sending many concurrent multipart requests in a loop. Version 1.51.2 contains a patch for this issue.

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Werkzeug is a comprehensive WSGI web application library. Prior to version 2.2.3, Werkzeug's multipart form data parser will parse an unlimited number of parts, including file parts. Parts can be a small amount of bytes, but each requires CPU time to parse and may use more memory as Python data. If a request can be made to an endpoint that accesses `request.data`, `request.form`, `request.files`, or `request.get_data(parse_form_data=False)`, it can cause unexpectedly high resource usage. This al ... Werkzeug is a comprehensive WSGI web application library. Prior to version 2.2.3, Werkzeug's multipart form data parser will parse an unlimited number of parts, including file parts. Parts can be a small amount of bytes, but each requires CPU time to parse and may use more memory as Python data. If a request can be made to an endpoint that accesses `request.data`, `request.form`, `request.files`, or `request.get_data(parse_form_data=False)`, it can cause unexpectedly high resource usage. This allows an attacker to cause a denial of service by sending crafted multipart data to an endpoint that will parse it. The amount of CPU time required can block worker processes from handling legitimate requests. The amount of RAM required can trigger an out of memory kill of the process. Unlimited file parts can use up memory and file handles. If many concurrent requests are sent continuously, this can exhaust or kill all available workers. Version 2.2.3 contains a patch for this issue.

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@fastify/multipart is a Fastify plugin to parse the multipart content-type. Prior to versions 7.4.1 and 6.0.1, @fastify/multipart may experience denial of service due to a number of situations in which an unlimited number of parts are accepted. This includes the multipart body parser accepting an unlimited number of file parts, the multipart body parser accepting an unlimited number of field parts, and the multipart body parser accepting an unlimited number of empty parts as field parts. This is ... @fastify/multipart is a Fastify plugin to parse the multipart content-type. Prior to versions 7.4.1 and 6.0.1, @fastify/multipart may experience denial of service due to a number of situations in which an unlimited number of parts are accepted. This includes the multipart body parser accepting an unlimited number of file parts, the multipart body parser accepting an unlimited number of field parts, and the multipart body parser accepting an unlimited number of empty parts as field parts. This is fixed in v7.4.1 (for Fastify v4.x) and v6.0.1 (for Fastify v3.x). There are no known workarounds.

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