Filtered by vendor Nodejs
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Total
153 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2020-10531 | 9 Canonical, Debian, Fedoraproject and 6 more | 11 Ubuntu Linux, Debian Linux, Fedora and 8 more | 2024-02-04 | 6.8 MEDIUM | 8.8 HIGH |
| An issue was discovered in International Components for Unicode (ICU) for C/C++ through 66.1. An integer overflow, leading to a heap-based buffer overflow, exists in the UnicodeString::doAppend() function in common/unistr.cpp. | |||||
| CVE-2020-8174 | 3 Netapp, Nodejs, Oracle | 9 Active Iq Unified Manager, Oncommand Insight, Oncommand Workflow Automation and 6 more | 2024-02-04 | 9.3 HIGH | 8.1 HIGH |
| napi_get_value_string_*() allows various kinds of memory corruption in node < 10.21.0, 12.18.0, and < 14.4.0. | |||||
| CVE-2020-8172 | 2 Nodejs, Oracle | 5 Node.js, Banking Extensibility Workbench, Blockchain Platform and 2 more | 2024-02-04 | 5.8 MEDIUM | 7.4 HIGH |
| TLS session reuse can lead to host certificate verification bypass in node version < 12.18.0 and < 14.4.0. | |||||
| CVE-2014-9748 | 3 Libuv, Microsoft, Nodejs | 4 Libuv, Windows Server 2003, Windows Xp and 1 more | 2024-02-04 | 6.8 MEDIUM | 8.1 HIGH |
| The uv_rwlock_t fallback implementation for Windows XP and Server 2003 in libuv before 1.7.4 does not properly prevent threads from releasing the locks of other threads, which allows attackers to cause a denial of service (deadlock) or possibly have unspecified other impact by leveraging a race condition. | |||||
| CVE-2019-9516 | 12 Apache, Apple, Canonical and 9 more | 21 Traffic Server, Mac Os X, Swiftnio and 18 more | 2024-02-04 | 6.8 MEDIUM | 6.5 MEDIUM |
| Some HTTP/2 implementations are vulnerable to a header leak, potentially leading to a denial of service. The attacker sends a stream of headers with a 0-length header name and 0-length header value, optionally Huffman encoded into 1-byte or greater headers. Some implementations allocate memory for these headers and keep the allocation alive until the session dies. This can consume excess memory. | |||||
| CVE-2019-9513 | 12 Apache, Apple, Canonical and 9 more | 22 Traffic Server, Mac Os X, Swiftnio and 19 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| 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. | |||||
| CVE-2019-9514 | 13 Apache, Apple, Canonical and 10 more | 30 Traffic Server, Mac Os X, Swiftnio and 27 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| 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. | |||||
| CVE-2019-9518 | 11 Apache, Apple, Canonical and 8 more | 20 Traffic Server, Mac Os X, Swiftnio and 17 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| 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. | |||||
| CVE-2019-5739 | 2 Nodejs, Opensuse | 2 Node.js, Leap | 2024-02-04 | 5.0 MEDIUM | 7.5 HIGH |
| Keep-alive HTTP and HTTPS connections can remain open and inactive for up to 2 minutes in Node.js 6.16.0 and earlier. Node.js 8.0.0 introduced a dedicated server.keepAliveTimeout which defaults to 5 seconds. The behavior in Node.js 6.16.0 and earlier is a potential Denial of Service (DoS) attack vector. Node.js 6.17.0 introduces server.keepAliveTimeout and the 5-second default. | |||||
| CVE-2019-9517 | 12 Apache, Apple, Canonical and 9 more | 24 Traffic Server, Mac Os X, Swiftnio and 21 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| 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. | |||||
| CVE-2019-9515 | 12 Apache, Apple, Canonical and 9 more | 24 Traffic Server, Mac Os X, Swiftnio and 21 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| 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. | |||||
| CVE-2019-9512 | 5 Apache, Apple, Canonical and 2 more | 6 Traffic Server, Mac Os X, Swiftnio and 3 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| 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. | |||||
| CVE-2019-9511 | 12 Apache, Apple, Canonical and 9 more | 22 Traffic Server, Mac Os X, Swiftnio and 19 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| 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. | |||||