ghsa

Jenkins Themis Plugin 1.4.1 and earlier does not perform a permission check in an HTTP endpoint. This allows attackers with Overall/Read permission to connect to an attacker-specified URL. Additionally, this endpoint does not require POST requests, resulting in a cross-site request forgery (CSRF) vulnerability. As of publication of this advisory, there is no fix.

Jenkins Eggplant Runner Plugin 0.0.1.301.v963cffe8ddb_8 and earlier sets the Java system property `jdk.http.auth.tunneling.disabledSchemes` to an empty value as part of applying a proxy configuration. This disables a protection mechanism of the Java runtime addressing CVE-2016-5597. As of publication of this advisory, there is no fix.

Jenkins Extensible Choice Parameter Plugin 239.v5f5c278708cf and earlier does not require POST requests for an HTTP endpoint, resulting in a cross-site request forgery (CSRF) vulnerability. This vulnerability allows attackers to execute sandboxed Groovy code. As of publication of this advisory, there is no fix.

Jenkins Azure CLI Plugin 0.9 and earlier does not restrict which commands it executes on the Jenkins controller. This allows attackers with Item/Configure permission to execute arbitrary shell commands on the Jenkins controller. As of publication of this advisory, there is no fix.

A Cross-Site Scripting (XSS) vulnerability was discovered in code16/sharp when rendering content using the SharpShowTextField component. In affected versions, expressions wrapped in `{{` & `}}` were evaluated by Vue. This allowed attackers to inject arbitrary JavaScript or HTML that executes in the browser when the field is displayed. For example, if a field’s value contains `{{ Math.random() }}`, it will be executed instead of being displayed as text. ### Impact Attackers who can control content rendered through SharpShowTextField could execute arbitrary JavaScript in the context of an authenticated user’s browser. This could lead to: - Theft of user session tokens. - Unauthorized actions performed on behalf of users. - Injection of malicious content into the admin panel. ### Patches The issue has been fixed in v9.11.1 of code16/sharp package. ### Mitigation / Workarounds Sanitize or encode any user-provided data that may include (`{{` & `}}`) before displaying it in a Sharp...

### Summary NextAuth.js's email sign-in can be forced to deliver authentication emails to an attacker-controlled mailbox due to a bug in `nodemailer`'s address parser used by the project (fixed in `nodemailer` **v7.0.7**). A crafted input such as: ``` "e@attacker.com"@victim.com ``` is parsed incorrectly and results in the message being delivered to `e@attacker.com` (attacker) instead of `"<e@attacker.com>@victim.com"` (the intended recipient at `victim.com`) in violation of RFC 5321/5322 semantics. This allows an attacker to receive login/verification links or other sensitive emails intended for the victim. <h2>Affected NextAuthjs Version</h2> ≤ Version | Afftected -- | -- 4.24.11 | Yes 5.0.0-beta.29 | Yes ## POC Example Setup showing misdelivery of email ```jsx import NextAuth from "next-auth" import Nodemailer from "next-auth/providers/nodemailer" import { PrismaAdapter } from "@auth/prisma-adapter" import { prisma } from "@/lib/prisma" export const { handlers, auth, sign...

The Keras.Model.load_model method, including when executed with the intended security mitigation safe_mode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery (SSRF). This vulnerability stems from the way the StringLookup layer is handled during model loading from a specially crafted .keras archive. The constructor for the StringLookup layer accepts a vocabulary argument that can specify a local file path or a remote file path. * Arbitrary Local File Read: An attacker can create a malicious .keras file that embeds a local path in the StringLookup layer's configuration. When the model is loaded, Keras will attempt to read the content of the specified local file and incorporate it into the model state (e.g., retrievable via get_vocabulary()), allowing an attacker to read arbitrary local files on the hosting system. * Server-Side Request Forgery (SSRF): Keras utilizes tf.io.gfile for file operations. Since tf.io.gfile supports remote filesystem h...

Consul and Consul Enterprise’s (“Consul”) event endpoint is vulnerable to denial of service (DoS) due to lack of maximum value on the Content Length header. This vulnerability, CVE-2025-11375, is fixed in Consul Community Edition 1.22.0 and Consul Enterprise 1.22.0, 1.21.6, 1.20.8 and 1.18.12.

Consul and Consul Enterprise’s (“Consul”) key/value endpoint is vulnerable to denial of service (DoS) due to incorrect Content Length header validation. This vulnerability, CVE-2025-11374, is fixed in Consul Community Edition 1.22.0 and Consul Enterprise 1.22.0, 1.21.6, 1.20.8 and 1.18.12.

### Summary An unauthenticated attacker can send a crafted HTTP Range header that triggers quadratic-time processing in Starlette's `FileResponse` Range parsing/merging logic. This enables CPU exhaustion per request, causing denial‑of‑service for endpoints serving files (e.g., `StaticFiles` or any use of `FileResponse`). ### Details Starlette parses multi-range requests in ``FileResponse._parse_range_header()``, then merges ranges using an O(n^2) algorithm. ```python # starlette/responses.py _RANGE_PATTERN = re.compile(r"(\d*)-(\d*)") # vulnerable to O(n^2) complexity ReDoS class FileResponse(Response): @staticmethod def _parse_range_header(http_range: str, file_size: int) -> list[tuple[int, int]]: ranges: list[tuple[int, int]] = [] try: units, range_ = http_range.split("=", 1) except ValueError: raise MalformedRangeHeader() # [...] ranges = [ ( int(_[0]) if _[0] else file_size - in...