Filtered by CWE-770
Filtered by vendor Subscriptions
Total 1298 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2022-22226 1 Juniper 35 Ex4300, Ex4300-24p, Ex4300-24p-s and 32 more 2025-05-12 6.5 Medium
In VxLAN scenarios on EX4300-MP, EX4600, QFX5000 Series devices an Uncontrolled Memory Allocation vulnerability in the Packet Forwarding Engine (PFE) of Juniper Networks Junos OS allows an unauthenticated adjacently located attacker sending specific packets to cause a Denial of Service (DoS) condition by crashing one or more PFE's when they are received and processed by the device. Upon automatic restart of the PFE, continued processing of these packets will cause the memory leak to reappear. Depending on the volume of packets received the attacker may be able to create a sustained Denial of Service (DoS) condition. This issue affects: Juniper Networks Junos OS on EX4300-MP, EX4600, QFX5000 Series: 17.1 version 17.1R1 and later versions prior to 17.3R3-S12; 17.4 versions prior to 17.4R2-S13, 17.4R3-S5; 18.1 versions prior to 18.1R3-S13; 18.2 versions prior to 18.2R3-S8; 18.3 versions prior to 18.3R3-S5; 18.4 versions prior to 18.4R1-S8, 18.4R2-S6, 18.4R3-S6; 19.1 versions prior to 19.1R3-S4; 19.2 versions prior to 19.2R1-S7, 19.2R3-S1; 19.3 versions prior to 19.3R2-S6, 19.3R3-S1; 19.4 versions prior to 19.4R1-S4, 19.4R2-S4, 19.4R3-S1; 20.1 versions prior to 20.1R2; 20.2 versions prior to 20.2R2-S3, 20.2R3; 20.3 versions prior to 20.3R2. This issue does not affect Junos OS versions prior to 17.1R1.
CVE-2024-4183 1 Mattermost 1 Mattermost Server 2025-05-12 4.3 Medium
Mattermost versions 8.1.x before 8.1.12, 9.6.x before 9.6.1, 9.5.x before 9.5.3, 9.4.x before 9.4.5 fail to limit the number of active sessions, which allows an authenticated attacker to crash the server via repeated requests to the getSessions API after flooding the sessions table.
CVE-2024-22091 1 Mattermost 1 Mattermost Server 2025-05-12 3.1 Low
Mattermost versions 8.1.x <= 8.1.10, 9.6.x <= 9.6.0, 9.5.x <= 9.5.2 and 8.1.x <= 8.1.11 fail to limit the size of a request path that includes user inputs which allows an attacker to cause excessive resource consumption, possibly leading to a DoS via sending large request paths
CVE-2025-32049 1 Redhat 1 Enterprise Linux 2025-05-09 7.5 High
A flaw was found in libsoup. The SoupWebsocketConnection may accept a large WebSocket message, which may cause libsoup to allocate memory and lead to a denial of service (DoS).
CVE-2022-22240 1 Juniper 2 Junos, Junos Os Evolved 2025-05-09 5.5 Medium
An Allocation of Resources Without Limits or Throttling and a Missing Release of Memory after Effective Lifetime vulnerability in the routing protocol daemon (rpd) of Juniper Networks Junos OS and Junos OS Evolved allows a locally authenticated low privileged attacker to cause a Denial of Sevice (DoS). In a high-scaled BGP routing environment with rib-sharding enabled, two issues may occur when executing a specific CLI command. One is a memory leak issue with rpd where the leak rate is not constant, and the other is a temporary spike in rpd memory usage during command execution. This issue affects: Juniper Networks Junos OS 19.4 versions prior to 19.4R3-S9; 20.2 versions prior to 20.2R3-S5; 20.3 versions prior to 20.3R3-S2; 20.4 versions prior to 20.4R3-S1; 21.1 versions prior to 21.1R3; 21.2 versions prior to 21.2R1-S2, 21.2R2-S1, 21.2R3; 21.3 versions prior to 21.3R2. Juniper Networks Junos OS Evolved All versions prior to 20.4R3-S1-EVO; 21.1-EVO version 21.1R1-EVO and later versions; 21.2-EVO versions prior to 21.2R1-S2-EVO, 21.2R3-EVO; 21.3-EVO versions prior to 21.3R2-EVO. This issue does not affect Juniper Networks Junos OS versions prior to 19.2R1.
CVE-2022-40885 1 Axiosys 1 Bento4 2025-05-09 5.5 Medium
Bento4 v1.6.0-639 has a memory allocation issue that can cause denial of service.
CVE-2025-32873 2025-05-08 5.3 Medium
An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().
CVE-2025-46727 1 Redhat 2 Satellite, Satellite Capsule 2025-05-08 7.5 High
Rack is a modular Ruby web server interface. Prior to versions 2.2.14, 3.0.16, and 3.1.14, `Rack::QueryParser` parses query strings and `application/x-www-form-urlencoded` bodies into Ruby data structures without imposing any limit on the number of parameters, allowing attackers to send requests with extremely large numbers of parameters. The vulnerability arises because `Rack::QueryParser` iterates over each `&`-separated key-value pair and adds it to a Hash without enforcing an upper bound on the total number of parameters. This allows an attacker to send a single request containing hundreds of thousands (or more) of parameters, which consumes excessive memory and CPU during parsing. An attacker can trigger denial of service by sending specifically crafted HTTP requests, which can cause memory exhaustion or pin CPU resources, stalling or crashing the Rack server. This results in full service disruption until the affected worker is restarted. Versions 2.2.14, 3.0.16, and 3.1.14 fix the issue. Some other mitigations are available. One may use middleware to enforce a maximum query string size or parameter count, or employ a reverse proxy (such as Nginx) to limit request sizes and reject oversized query strings or bodies. Limiting request body sizes and query string lengths at the web server or CDN level is an effective mitigation.
CVE-2025-36504 2025-05-08 7.5 High
When a BIG-IP HTTP/2 httprouter profile is configured on a virtual server, undisclosed responses can cause an increase in memory resource utilization.  Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.
CVE-2023-52529 2 Linux, Redhat 2 Linux Kernel, Enterprise Linux 2025-05-07 6 Medium
In the Linux kernel, the following vulnerability has been resolved: HID: sony: Fix a potential memory leak in sony_probe() If an error occurs after a successful usb_alloc_urb() call, usb_free_urb() should be called.
CVE-2024-22255 2 Apple, Vmware 5 Macos, Cloud Foundation, Esxi and 2 more 2025-05-07 7.1 High
VMware ESXi, Workstation, and Fusion contain an information disclosure vulnerability in the UHCI USB controller. A malicious actor with administrative access to a virtual machine may be able to exploit this issue to leak memory from the vmx process.  
CVE-2022-34439 1 Dell 1 Emc Powerscale Onefs 2025-05-07 5.3 Medium
Dell PowerScale OneFS, versions 8.2.0.x-9.4.0.x contain allocation of Resources Without Limits or Throttling vulnerability. A remote unauthenticated attacker could potentially exploit this vulnerability, leading to denial of service and performance issue on that node.
CVE-2024-4311 2 Zenml, Zenmlio 2 Zenml, Zenml 2025-05-07 5.4 Medium
zenml-io/zenml version 0.56.4 is vulnerable to an account takeover due to the lack of rate-limiting in the password change function. An attacker can brute-force the current password in the 'Update Password' function, allowing them to take over the user's account. This vulnerability is due to the absence of rate-limiting on the '/api/v1/current-user' endpoint, which does not restrict the number of attempts an attacker can make to guess the current password. Successful exploitation results in the attacker being able to change the password and take control of the account.
CVE-2022-42315 3 Debian, Fedoraproject, Xen 3 Debian Linux, Fedora, Xen 2025-05-06 6.5 Medium
Xenstore: guests can let run xenstored out of memory T[his CNA information record relates to multiple CVEs; the text explains which aspects/vulnerabilities correspond to which CVE.] Malicious guests can cause xenstored to allocate vast amounts of memory, eventually resulting in a Denial of Service (DoS) of xenstored. There are multiple ways how guests can cause large memory allocations in xenstored: - - by issuing new requests to xenstored without reading the responses, causing the responses to be buffered in memory - - by causing large number of watch events to be generated via setting up multiple xenstore watches and then e.g. deleting many xenstore nodes below the watched path - - by creating as many nodes as allowed with the maximum allowed size and path length in as many transactions as possible - - by accessing many nodes inside a transaction
CVE-2022-42314 3 Debian, Fedoraproject, Xen 3 Debian Linux, Fedora, Xen 2025-05-06 6.5 Medium
Xenstore: guests can let run xenstored out of memory T[his CNA information record relates to multiple CVEs; the text explains which aspects/vulnerabilities correspond to which CVE.] Malicious guests can cause xenstored to allocate vast amounts of memory, eventually resulting in a Denial of Service (DoS) of xenstored. There are multiple ways how guests can cause large memory allocations in xenstored: - - by issuing new requests to xenstored without reading the responses, causing the responses to be buffered in memory - - by causing large number of watch events to be generated via setting up multiple xenstore watches and then e.g. deleting many xenstore nodes below the watched path - - by creating as many nodes as allowed with the maximum allowed size and path length in as many transactions as possible - - by accessing many nodes inside a transaction
CVE-2022-42313 3 Debian, Fedoraproject, Xen 3 Debian Linux, Fedora, Xen 2025-05-06 6.5 Medium
Xenstore: guests can let run xenstored out of memory T[his CNA information record relates to multiple CVEs; the text explains which aspects/vulnerabilities correspond to which CVE.] Malicious guests can cause xenstored to allocate vast amounts of memory, eventually resulting in a Denial of Service (DoS) of xenstored. There are multiple ways how guests can cause large memory allocations in xenstored: - - by issuing new requests to xenstored without reading the responses, causing the responses to be buffered in memory - - by causing large number of watch events to be generated via setting up multiple xenstore watches and then e.g. deleting many xenstore nodes below the watched path - - by creating as many nodes as allowed with the maximum allowed size and path length in as many transactions as possible - - by accessing many nodes inside a transaction
CVE-2022-42312 3 Debian, Fedoraproject, Xen 3 Debian Linux, Fedora, Xen 2025-05-06 6.5 Medium
Xenstore: guests can let run xenstored out of memory T[his CNA information record relates to multiple CVEs; the text explains which aspects/vulnerabilities correspond to which CVE.] Malicious guests can cause xenstored to allocate vast amounts of memory, eventually resulting in a Denial of Service (DoS) of xenstored. There are multiple ways how guests can cause large memory allocations in xenstored: - - by issuing new requests to xenstored without reading the responses, causing the responses to be buffered in memory - - by causing large number of watch events to be generated via setting up multiple xenstore watches and then e.g. deleting many xenstore nodes below the watched path - - by creating as many nodes as allowed with the maximum allowed size and path length in as many transactions as possible - - by accessing many nodes inside a transaction
CVE-2022-42311 3 Debian, Fedoraproject, Xen 3 Debian Linux, Fedora, Xen 2025-05-06 6.5 Medium
Xenstore: guests can let run xenstored out of memory T[his CNA information record relates to multiple CVEs; the text explains which aspects/vulnerabilities correspond to which CVE.] Malicious guests can cause xenstored to allocate vast amounts of memory, eventually resulting in a Denial of Service (DoS) of xenstored. There are multiple ways how guests can cause large memory allocations in xenstored: - - by issuing new requests to xenstored without reading the responses, causing the responses to be buffered in memory - - by causing large number of watch events to be generated via setting up multiple xenstore watches and then e.g. deleting many xenstore nodes below the watched path - - by creating as many nodes as allowed with the maximum allowed size and path length in as many transactions as possible - - by accessing many nodes inside a transaction
CVE-2018-2815 6 Canonical, Debian, Hp and 3 more 15 Ubuntu Linux, Debian Linux, Xp7 Command View and 12 more 2025-05-06 5.3 Medium
Vulnerability in the Java SE, Java SE Embedded, JRockit component of Oracle Java SE (subcomponent: Serialization). Supported versions that are affected are Java SE: 6u181, 7u171, 8u162 and 10; Java SE Embedded: 8u161; JRockit: R28.3.17. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Java SE, Java SE Embedded, JRockit. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of Java SE, Java SE Embedded, JRockit. Note: Applies to client and server deployment of Java. This vulnerability can be exploited through sandboxed Java Web Start applications and sandboxed Java applets. It can also be exploited by supplying data to APIs in the specified Component without using sandboxed Java Web Start applications or sandboxed Java applets, such as through a web service. CVSS 3.0 Base Score 5.3 (Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L).
CVE-2018-2798 6 Canonical, Debian, Hp and 3 more 18 Ubuntu Linux, Debian Linux, Xp7 Command View and 15 more 2025-05-06 5.3 Medium
Vulnerability in the Java SE, Java SE Embedded, JRockit component of Oracle Java SE (subcomponent: AWT). Supported versions that are affected are Java SE: 6u181, 7u171, 8u162 and 10; Java SE Embedded: 8u161; JRockit: R28.3.17. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Java SE, Java SE Embedded, JRockit. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of Java SE, Java SE Embedded, JRockit. Note: Applies to client and server deployment of Java. This vulnerability can be exploited through sandboxed Java Web Start applications and sandboxed Java applets. It can also be exploited by supplying data to APIs in the specified Component without using sandboxed Java Web Start applications or sandboxed Java applets, such as through a web service. CVSS 3.0 Base Score 5.3 (Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L).