| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A heap buffer overflow in the TFTP receiving code allows for DoS or arbitrary code execution in libcurl versions 7.19.4 through 7.64.1. |
| Curl versions 7.14.1 through 7.61.1 are vulnerable to a heap-based buffer over-read in the tool_msgs.c:voutf() function that may result in information exposure and denial of service. |
| curl before version 7.61.1 is vulnerable to a buffer overrun in the NTLM authentication code. The internal function Curl_ntlm_core_mk_nt_hash multiplies the length of the password by two (SUM) to figure out how large temporary storage area to allocate from the heap. The length value is then subsequently used to iterate over the password and generate output into the allocated storage buffer. On systems with a 32 bit size_t, the math to calculate SUM triggers an integer overflow when the password length exceeds 2GB (2^31 bytes). This integer overflow usually causes a very small buffer to actually get allocated instead of the intended very huge one, making the use of that buffer end up in a heap buffer overflow. (This bug is almost identical to CVE-2017-8816.) |
| Python Social Auth is a social authentication/registration mechanism. Prior to version 5.4.1, due to default case-insensitive collation in MySQL or MariaDB databases, third-party authentication user IDs are not case-sensitive and could cause different IDs to match. This issue has been addressed by a fix released in version 5.4.1. An immediate workaround would be to change collation of the affected field. |
| path-to-regexp turns path strings into a regular expressions. In certain cases, path-to-regexp will output a regular expression that can be exploited to cause poor performance. Because JavaScript is single threaded and regex matching runs on the main thread, poor performance will block the event loop and lead to a DoS. The bad regular expression is generated any time you have two parameters within a single segment, separated by something that is not a period (.). For users of 0.1, upgrade to 0.1.10. All other users should upgrade to 8.0.0. |
| quic-go is an implementation of the QUIC protocol in Go. An off-path attacker can inject an ICMP Packet Too Large packet. Since affected quic-go versions used IP_PMTUDISC_DO, the kernel would then return a "message too large" error on sendmsg, i.e. when quic-go attempts to send a packet that exceeds the MTU claimed in that ICMP packet. By setting this value to smaller than 1200 bytes (the minimum MTU for QUIC), the attacker can disrupt a QUIC connection. Crucially, this can be done after completion of the handshake, thereby circumventing any TCP fallback that might be implemented on the application layer (for example, many browsers fall back to HTTP over TCP if they're unable to establish a QUIC connection). The attacker needs to at least know the client's IP and port tuple to mount an attack. This vulnerability is fixed in 0.48.2. |
| A Denial of Service (DoS) vulnerability exists in the jaraco/zipp library, affecting all versions prior to 3.19.1. The vulnerability is triggered when processing a specially crafted zip file that leads to an infinite loop. This issue also impacts the zipfile module of CPython, as features from the third-party zipp library are later merged into CPython, and the affected code is identical in both projects. The infinite loop can be initiated through the use of functions affecting the `Path` module in both zipp and zipfile, such as `joinpath`, the overloaded division operator, and `iterdir`. Although the infinite loop is not resource exhaustive, it prevents the application from responding. The vulnerability was addressed in version 3.19.1 of jaraco/zipp. |
| A flaw was found in Ansible Automation Platform (AAP). Read-only scoped OAuth2 API Tokens in AAP, are enforced at the Gateway level for Gateway-specific operations. However, this vulnerability allows read-only tokens to perform write operations on backend services (e.g., Controller, Hub, EDA). If this flaw were exploited, an attacker‘s capabilities would only be limited by role based access controls (RBAC). |
| Versions of the package djangorestframework before 3.15.2 are vulnerable to Cross-site Scripting (XSS) via the break_long_headers template filter due to improper input sanitization before splitting and joining with <br> tags. |
| Versions of the package black before 24.3.0 are vulnerable to Regular Expression Denial of Service (ReDoS) via the lines_with_leading_tabs_expanded function in the strings.py file. An attacker could exploit this vulnerability by crafting a malicious input that causes a denial of service.
Exploiting this vulnerability is possible when running Black on untrusted input, or if you habitually put thousands of leading tab characters in your docstrings. |
| Gunicorn fails to properly validate Transfer-Encoding headers, leading to HTTP Request Smuggling (HRS) vulnerabilities. By crafting requests with conflicting Transfer-Encoding headers, attackers can bypass security restrictions and access restricted endpoints. This issue is due to Gunicorn's handling of Transfer-Encoding headers, where it incorrectly processes requests with multiple, conflicting Transfer-Encoding headers, treating them as chunked regardless of the final encoding specified. This vulnerability allows for a range of attacks including cache poisoning, session manipulation, and data exposure. |
| nanoid (aka Nano ID) before 5.0.9 mishandles non-integer values. 3.3.8 is also a fixed version. |
| A flaw was found in Event-Driven Automation (EDA) in Ansible Automation Platform (AAP), which lacks encryption of sensitive information. An attacker with network access could exploit this vulnerability by sniffing the plaintext data transmitted between the EDA and AAP. An attacker with system access could exploit this vulnerability by reading the plaintext data stored in EDA and AAP databases. |
| A flaw was found in the Ansible Automation Platform's Event-Driven Ansible. In configurations where verbosity is set to "debug", inventory passwords are exposed in plain text when starting a rulebook activation. This issue exists for any "debug" action in a rulebook and also affects Event Streams. |
| A flaw was found in the EDA component of the Ansible Automation Platform, where user-supplied Git branch or refspec values are evaluated as Jinja2 templates. This vulnerability allows authenticated users to inject expressions that execute commands or access sensitive files on the EDA worker. In OpenShift, it can lead to service account token theft. |
| When parsing a multipart form (either explicitly with Request.ParseMultipartForm or implicitly with Request.FormValue, Request.PostFormValue, or Request.FormFile), limits on the total size of the parsed form were not applied to the memory consumed while reading a single form line. This permits a maliciously crafted input containing very long lines to cause allocation of arbitrarily large amounts of memory, potentially leading to memory exhaustion. With fix, the ParseMultipartForm function now correctly limits the maximum size of form lines. |
| An improper authorization flaw exists in the Ansible Automation Controller. This flaw allows an attacker using the k8S API server to send an HTTP request with a service account token mounted via `automountServiceAccountToken: true`, resulting in privilege escalation to a service account. |
| A flaw was found in Ansible. The ansible-core `user` module can allow an unprivileged user to silently create or replace the contents of any file on any system path and take ownership of it when a privileged user executes the `user` module against the unprivileged user's home directory. If the unprivileged user has traversal permissions on the directory containing the exploited target file, they retain full control over the contents of the file as its owner. |
| A flaw was found in Ansible, where sensitive information stored in Ansible Vault files can be exposed in plaintext during the execution of a playbook. This occurs when using tasks such as include_vars to load vaulted variables without setting the no_log: true parameter, resulting in sensitive data being printed in the playbook output or logs. This can lead to the unintentional disclosure of secrets like passwords or API keys, compromising security and potentially allowing unauthorized access or actions. |
| A flaw was found in PyO3. This vulnerability causes a use-after-free issue, potentially leading to memory corruption or crashes via unsound borrowing from weak Python references. |
