An issue was discovered in the protobuf crate before 2.6.0 for Rust. Attackers can exhaust all memory via Vec::reserve calls.

SHAREit through 4.0.6.177 does not check the full message length from the received packet header (which is used to allocate memory for the next set of data). This could lead to a system denial of service due to uncontrolled memory allocation. This is different from CVE-2019-14941.

SHAREit through 4.0.6.177 does not check the body length from the received packet header (which is used to allocate memory for the next set of data). This could lead to a system denial of service due to uncontrolled memory allocation.

js-libp2p is the official javascript Implementation of libp2p networking stack. Versions older than `v0.38.0` of js-libp2p are vulnerable to targeted resource exhaustion attacks. These attacks target libp2p’s connection, stream, peer, and memory management. An attacker can cause the allocation of large amounts of memory, ultimately leading to the process getting killed by the host’s operating system. While a connection manager tasked with keeping the number of connections within manageable limits has been part of js-libp2p, this component was designed to handle the regular churn of peers, not a targeted resource exhaustion attack. Users are advised to update their js-libp2p dependency to `v0.38.0` or greater. There are no known workarounds for this vulnerability.

JetBrains PyCharm before 2019.2 was allocating a buffer of unknown size for one of the connection processes. In a very specific situation, it could lead to a remote invocation of an OOM error message because of Uncontrolled Memory Allocation.

To keep its cache database efficient, `named` running as a recursive resolver occasionally attempts to clean up the database. It uses several methods, including some that are asynchronous: a small chunk of memory pointing to the cache element that can be cleaned up is first allocated and then queued for later processing. It was discovered that if the resolver is continuously processing query patterns triggering this type of cache-database maintenance, `named` may not be able to handle the cleanup events in a timely manner. This in turn enables the list of queued cleanup events to grow infinitely large over time, allowing the configured `max-cache-size` limit to be significantly exceeded. This issue affects BIND 9 versions 9.16.0 through 9.16.45 and 9.16.8-S1 through 9.16.45-S1.

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.

hb-ot-layout-gsubgpos.hh in HarfBuzz through 6.0.0 allows attackers to trigger O(n^2) growth via consecutive marks during the process of looking back for base glyphs when attaching marks.

Kiwi TCMS, an open source test management system, does not impose rate limits in versions prior to 12.0. This makes it easier to attempt denial-of-service attacks against the Password reset page. An attacker could potentially send a large number of emails if they know the email addresses of users in Kiwi TCMS. Additionally that may strain SMTP resources. Users should upgrade to v12.0 or later to receive a patch. As potential workarounds, users may install and configure a rate-limiting proxy in front of Kiwi TCMS and/or configure rate limits on their email server when possible.

Golang Facebook Thrift servers would not error upon receiving messages declaring containers of sizes larger than the payload. As a result, malicious clients could send short messages which would result in a large memory allocation, potentially leading to denial of service. This issue affects Facebook Thrift prior to v2020.03.16.00.

Apache Commons FileUpload before 1.5 does not limit the number of request parts to be processed resulting in the possibility of an attacker triggering a DoS with a malicious upload or series of uploads. Note that, like all of the file upload limits, the new configuration option (FileUploadBase#setFileCountMax) is not enabled by default and must be explicitly configured.

In Mcrouter prior to v0.41.0, the deprecated ASCII parser would allocate a buffer to a user-specified length with no maximum length enforced, allowing for resource exhaustion or denial of service.

Mattermost fails to enforce a limit for the size of the cache entry for OpenGraph data allowing an attacker to send a specially crafted request to the /api/v4/opengraph filling the cache and turning the server unavailable.

In Django 3.2 before 3.2.17, 4.0 before 4.0.9, and 4.1 before 4.1.6, the parsed values of Accept-Language headers are cached in order to avoid repetitive parsing. This leads to a potential denial-of-service vector via excessive memory usage if the raw value of Accept-Language headers is very large.

Due to insufficient length validation in the Open5GS GTP library versions prior to versions 2.4.13 and 2.5.7, when parsing extension headers in GPRS tunneling protocol (GPTv1-U) messages, a protocol payload with any extension header length set to zero causes an infinite loop. The affected process becomes immediately unresponsive, resulting in denial of service and excessive resource consumption. CVSS3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:P/RL:O/RC:C

An Allocation of Resources Without Limits or Throttling vulnerability in the Packet Forwarding Engine (PFE) of Juniper Networks Junos OS Evolved allows unauthenticated network based attacker to cause a Denial of Service (DoS). On all Junos Evolved platforms hostbound protocols will be impacted by a high rate of specific hostbound traffic from ports on a PFE. Continued receipt of this amount of traffic will create a sustained Denial of Service (DoS) condition. This issue affects Juniper Networks Junos OS Evolved: 21.2 versions prior to 21.2R3-EVO; 21.3 versions prior to 21.3R2-EVO. This issue does not affect Juniper Networks Junos OS Evolved versions prior to 21.2R1.

Grackle is a GraphQL server written in functional Scala, built on the Typelevel stack. The GraphQL specification requires that GraphQL fragments must not form cycles, either directly or indirectly. Prior to Grackle version 0.18.0, that requirement wasn't checked, and queries with cyclic fragments would have been accepted for type checking and compilation. The attempted compilation of such fragments would result in a JVM `StackOverflowError` being thrown. Some knowledge of an applications GraphQL schema would be required to construct such a query, however no knowledge of any application-specific performance or other behavioural characteristics would be needed. Grackle uses the cats-parse library for parsing GraphQL queries. Prior to version 0.18.0, Grackle made use of the cats-parse `recursive` operator. However, `recursive` is not currently stack safe. `recursive` was used in three places in the parser: nested selection sets, nested input values (lists and objects), and nested list type declarations. Consequently, queries with deeply nested selection sets, input values or list types could be constructed which exploited this, causing a JVM `StackOverflowException` to be thrown during parsing. Because this happens very early in query processing, no specific knowledge of an applications GraphQL schema would be required to construct such a query. The possibility of small queries resulting in stack overflow is a potential denial of service vulnerability. This potentially affects all applications using Grackle which have untrusted users. Both stack overflow issues have been resolved in the v0.18.0 release of Grackle. As a workaround, users could interpose a sanitizing layer in between untrusted input and Grackle query processing.

Multipart form parsing can consume large amounts of CPU and memory when processing form inputs containing very large numbers of parts. This stems from several causes: 1. mime/multipart.Reader.ReadForm limits the total memory a parsed multipart form can consume. ReadForm can undercount the amount of memory consumed, leading it to accept larger inputs than intended. 2. Limiting total memory does not account for increased pressure on the garbage collector from large numbers of small allocations in forms with many parts. 3. ReadForm can allocate a large number of short-lived buffers, further increasing pressure on the garbage collector. The combination of these factors can permit an attacker to cause an program that parses multipart forms to consume large amounts of CPU and memory, potentially resulting in a denial of service. This affects programs that use mime/multipart.Reader.ReadForm, as well as form parsing in the net/http package with the Request methods FormFile, FormValue, ParseMultipartForm, and PostFormValue. With fix, ReadForm now does a better job of estimating the memory consumption of parsed forms, and performs many fewer short-lived allocations. In addition, the fixed mime/multipart.Reader imposes the following limits on the size of parsed forms: 1. Forms parsed with ReadForm may contain no more than 1000 parts. This limit may be adjusted with the environment variable GODEBUG=multipartmaxparts=. 2. Form parts parsed with NextPart and NextRawPart may contain no more than 10,000 header fields. In addition, forms parsed with ReadForm may contain no more than 10,000 header fields across all parts. This limit may be adjusted with the environment variable GODEBUG=multipartmaxheaders=.

Java Facebook Thrift servers would not error upon receiving messages declaring containers of sizes larger than the payload. As a result, malicious clients could send short messages which would result in a large memory allocation, potentially leading to denial of service. This issue affects Facebook Thrift prior to v2019.12.09.00.

The web api server on Port 8080 of ASUS HG100 firmware up to 1.05.12, which is vulnerable to Slowloris HTTP Denial of Service: an attacker can cause a Denial of Service (DoS) by sending headers very slowly to keep HTTP or HTTPS connections and associated resources alive for a long period of time. CVSS 3.0 Base score 7.4 (Availability impacts). CVSS vector: (CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H).

Due to an allocation of resources without limits, an uncontrolled resource consumption vulnerability exists in Silicon Labs Ember ZNet SDK prior to v7.4.0.0 (delivered as part of Silicon Labs Gecko SDK v4.4.0) which may enable attackers to trigger a bus fault and crash of the device, requiring a reboot in order to rejoin the network.

ABB, Phoenix Contact, Schneider Electric, Siemens, WAGO - Programmable Logic Controllers, multiple versions. Researchers have found some controllers are susceptible to a denial-of-service attack due to a flood of network packets.

Jonathan Looney discovered that the Linux kernel default MSS is hard-coded to 48 bytes. This allows a remote peer to fragment TCP resend queues significantly more than if a larger MSS were enforced. A remote attacker could use this to cause a denial of service. This has been fixed in stable kernel releases 4.4.182, 4.9.182, 4.14.127, 4.19.52, 5.1.11, and is fixed in commits 967c05aee439e6e5d7d805e195b3a20ef5c433d6 and 5f3e2bf008c2221478101ee72f5cb4654b9fc363.

The jose2go component before 1.6.0 for Go allows attackers to cause a denial of service (CPU consumption) via a large p2c (aka PBES2 Count) value.

An Insufficient Algorithmic Complexity combined with an Allocation of Resources Without Limits or Throttling vulnerability in the flow processing daemon (flowd) of Juniper Networks Junos OS on SRX Series and MX Series with SPC3 allows an unauthenticated network attacker to cause latency in transit packet processing and even packet loss. If transit traffic includes a significant percentage (> 5%) of fragmented packets which need to be reassembled, high latency or packet drops might be observed. This issue affects Juniper Networks Junos OS on SRX Series, MX Series with SPC3: All versions prior to 18.2R3; 18.3 versions prior to 18.3R3; 18.4 versions prior to 18.4R2-S9, 18.4R3; 19.1 versions prior to 19.1R2; 19.2 versions prior to 19.2R1-S1, 19.2R2.

Apache Traffic Server is vulnerable to HTTP/2 setting flood attacks. Earlier versions of Apache Traffic Server didn't limit the number of setting frames sent from the client using the HTTP/2 protocol. Users should upgrade to Apache Traffic Server 7.1.7, 8.0.4, or later versions.

It was found that the fix for CVE-2018-14648 in 389-ds-base, versions 1.4.0.x before 1.4.0.17, was incorrectly applied in RHEL 7.5. An attacker would still be able to provoke excessive CPU consumption leading to a denial of service.

Specific IPv6 DHCP packets received by the jdhcpd daemon will cause a memory resource consumption issue to occur on a Junos OS device using the jdhcpd daemon configured to respond to IPv6 requests. Once started, memory consumption will eventually impact any IPv4 or IPv6 request serviced by the jdhcpd daemon, thus creating a Denial of Service (DoS) condition to clients requesting and not receiving IP addresses. Additionally, some clients which were previously holding IPv6 addresses will not have their IPv6 Identity Association (IA) address and network tables agreed upon by the jdhcpd daemon after the failover event occurs, which leads to more than one interface, and multiple IP addresses, being denied on the client. Affected releases are Juniper Networks Junos OS: 17.4 versions prior to 17.4R2; 18.1 versions prior to 18.1R2.

VMware Workspace ONE UEM REST API contains a denial of service vulnerability. A malicious actor with access to /API/system/admins/session could cause an API denial of service due to improper rate limiting.

Crash in USB HID dissector in Wireshark 3.4.0 to 3.4.2 allows denial of service via packet injection or crafted capture file

A lack of rate limiting in pjActionAJaxSend in Availability Booking Calendar 5.0 allows attackers to cause resource exhaustion.

lunasvg v3.0.0 was discovered to contain a allocation-size-too-big bug via the component plutovg_surface_create.

Possible NLDAP Denial of Service attack Vulnerability in eDirectory has been discovered in OpenText™ eDirectory before 9.2.4.0000.

An issue in the sqlg_place_dpipes component of openlink virtuoso-opensource v7.2.11 allows attackers to cause a Denial of Service (DoS) via crafted SQL statements.

In AXESS ACS (Auto Configuration Server) through 5.2.0, unsanitized user input in the TR069 API allows remote unauthenticated attackers to cause a permanent Denial of Service via crafted TR069 requests on TCP port 9675 or 7547. Rebooting does not resolve the permanent Denial of Service.

NVIDIA FLARE contains a vulnerability in the admin interface, where an un-authorized attacker can cause Allocation of Resources Without Limits or Throttling, which may lead to cause system unavailable.

ESXi contains a slow HTTP POST denial-of-service vulnerability in rhttpproxy. A malicious actor with network access to ESXi may exploit this issue to create a denial-of-service condition by overwhelming rhttpproxy service with multiple requests.

A vulnerability in the Snort detection engine integration for Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause unlimited memory consumption, which could lead to a denial of service (DoS) condition on an affected device. This vulnerability is due to insufficient memory management for certain Snort events. An attacker could exploit this vulnerability by sending a series of crafted IP packets that would generate specific Snort events on an affected device. A sustained attack could cause an out of memory condition on the affected device. A successful exploit could allow the attacker to interrupt all traffic flowing through the affected device. In some circumstances, the attacker may be able to cause the device to reload, resulting in a DoS condition.

A vulnerability in the connection handling function in Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. This vulnerability is due to improper traffic handling when platform limits are reached. An attacker could exploit this vulnerability by sending a high rate of UDP traffic through an affected device. A successful exploit could allow the attacker to cause all new, incoming connections to be dropped, resulting in a DoS condition.

A vulnerability in IP ingress packet processing of the Cisco Embedded Wireless Controller with Catalyst Access Points Software could allow an unauthenticated, remote attacker to cause the device to reload unexpectedly, causing a denial of service (DoS) condition. The device may experience a performance degradation in traffic processing or high CPU usage prior to the unexpected reload. This vulnerability is due to improper rate limiting of IP packets to the management interface. An attacker could exploit this vulnerability by sending a steady stream of IP traffic at a high rate to the management interface of the affected device. A successful exploit could allow the attacker to cause the device to reload.

An adversary could crash the entire device by sending a large quantity of ICMP requests if the controller has the built-in web server enabled but does not have the built-in web server completely set up and configured for the SNAP PAC S1 Firmware version R10.3b

A vulnerability was found in CRI-O that causes memory or disk space exhaustion on the node for anyone with access to the Kube API. The ExecSync request runs commands in a container and logs the output of the command. This output is then read by CRI-O after command execution, and it is read in a manner where the entire file corresponding to the output of the command is read in. Thus, if the output of the command is large it is possible to exhaust the memory or the disk space of the node when CRI-O reads the output of the command. The highest threat from this vulnerability is system availability.

AgataSoft PingMaster Pro 2.1 contains a denial of service vulnerability in the Trace Route feature that allows attackers to crash the application by overflowing the host name input field. Attackers can generate a 10,000-character buffer and paste it into the host name field to trigger an application crash and potential system instability.

ProFTPD 1.3.7a contains a denial of service vulnerability that allows attackers to overwhelm the server by creating multiple simultaneous FTP connections. Attackers can repeatedly establish connections using threading to exhaust server connection limits and block legitimate user access.

GeoGebra Graphing Calculator 6.0.631.0 contains a denial of service vulnerability that allows attackers to crash the application by inputting an oversized buffer. Attackers can generate a payload of 8000 repeated characters to overwhelm the input field and cause the application to become unresponsive.

Nsauditor 3.2.2.0 contains a denial of service vulnerability that allows attackers to crash the application by overwriting the Event Description field with a large buffer. Attackers can generate a 10,000-character 'U' buffer and paste it into the Event Description field to trigger an application crash.

AWebServer GhostBuilding 18 contains a denial of service vulnerability that allows remote attackers to overwhelm the server by sending multiple concurrent HTTP requests. Attackers can generate high-volume requests to multiple endpoints including /mysqladmin to potentially crash or render the service unresponsive.

Hasura GraphQL 1.3.3 contains a denial of service vulnerability that allows attackers to overwhelm the service by crafting malicious GraphQL queries with excessive nested fields. Attackers can send repeated requests with extremely long query strings and multiple threads to consume server resources and potentially crash the GraphQL endpoint.

SmartFTP Client 10.0.2909.0 contains multiple denial of service vulnerabilities that allow attackers to crash the application through specific input manipulation. Attackers can trigger crashes by entering malformed paths, using invalid IP addresses, or clearing connection history in the client's interface.

Managed Switch Port Mapping Tool 2.85.2 contains a denial of service vulnerability that allows attackers to crash the application by creating an oversized buffer. Attackers can generate a 10,000-character buffer and paste it into the IP Address and SNMP Community Name fields to trigger the application crash.