185 matches found
GHSA-MVMF-94V6-879G fzf vulnerable to denial of service through quadratic HTTP request-body accumulation
fzf is vulnerable to a Denial of Service DoS due to inefficient HTTP body processing in the --listen mode due to inefficient HTTP body processing using repeated string concatenation, resulting in quadratic time complexity On². A crafted POST request with many small segments can trigger excessive...
fzf vulnerable to denial of service through quadratic HTTP request-body accumulation
fzf is vulnerable to a Denial of Service DoS due to inefficient HTTP body processing in the --listen mode due to inefficient HTTP body processing using repeated string concatenation, resulting in quadratic time complexity On². A crafted POST request with many small segments can trigger excessive...
CVE-2026-13149: Uncontrolled Resource Consumption
brace-expansion through 5.0.6 is vulnerable to denial of service. The expand function exhibits exponential-time complexity in the number of consecutive non-expanding '' brace groups. An attacker who passes a crafted string to expand, directly or transitively, can cause significant CPU consumption...
CVE-2026-53433: Inefficient Algorithmic Complexity
fzf is vulnerable to a Denial of Service DoS due to inefficient HTTP body processing in the --listen mode due to inefficient HTTP body processing using repeated string concatenation, resulting in quadratic time complexity On². A crafted POST request with many small segments can trigger excessive...
CVE-2026-13311 shell-quote parse() is quadratic in token count, enabling denial of service
shell-quote prior to 1.8.5 finalizes parsed tokens in parse using Array.prototype.concat as a reduce accumulator, which reallocates and copies the entire growing array on every iteration. As a result parse runs in On^2 time relative to the number of input tokens. An attacker who can supply an...
CVE-2026-11972: Unchecked Return Value
When using the "tarfile" module with a file opened in "streaming mode" mode="r|" the tarfile module did not properly handle EOF, making archive parsing take exponentially longer...
CVE-2026-33169: Uncontrolled Resource Consumption
Active Support is a toolkit of support libraries and Ruby core extensions extracted from the Rails framework. NumberToDelimitedConverter uses a lookahead-based regular expression with gsub! to insert thousands delimiters. Prior to versions 8.1.2.1, 8.0.4.1, and 7.2.3.1, the interaction between th...
CVE-2025-67725: Uncontrolled Resource Consumption
Tornado is a Python web framework and asynchronous networking library. In versions 6.5.2 and below, a single maliciously crafted HTTP request can block the server's event loop for an extended period, caused by the HTTPHeaders.add method. The function accumulates values using string concatenation...
EUVD-2021-1380
Malware in sbrugna...
EUVD-2021-1748
Malware in sbrugna...
EUVD-2021-0725
Malware in sbrugna...
EUVD-2021-0928
Malware in sbrugna...
EUVD-2020-3159
Malware in sbrugna...
EUVD-2023-30291
Malicious code in bioql PyPI...
EUVD-2023-28818
Malicious code in bioql PyPI...
EUVD-2025-12612
Malicious code in bioql PyPI...
EUVD-2023-26630
Malicious code in bioql PyPI...
Linux Distros Unpatched Vulnerability : CVE-2021-33587
The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - The css-what package 4.0.0 through 5.0.0 for Node.js does not ensure that attribute parsing has Linear Time Complexity relative to the size of the input...
BIT-LIBPYTHON-2020-10735
A flaw was found in python. In algorithms with quadratic time complexity using non-binary bases, when using int"text", a system could take 50ms to parse an int string with 100,000 digits and 5s for 1,000,000 digits float, decimal, int.frombytes, and int for binary bases 2, 4, 8, 16, and 32 are no...
Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
Feature selection is a technique that extracts a meaningful subset from a set of features in training data. When the training data is large-scale, appropriate feature selection enables the removal of redundant features, which can improve generalization performance, accelerate the training process...