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CVE-2025-6713 is an authorization flaw in MongoDB Server that affects the aggregation framework’s handling of the $mergeCursors stage. An unauthorized user can submit a specially crafted aggregation pipeline that abuses improper authorization handling during cursor merging, allowing access to data without the required authorization checks being correctly enforced. The issue is described as a role-based access control bypass in distributed aggregation execution. Affected versions are MongoDB Server 8.0 before 8.0.7, 7.0 before 7.0.20, and 6.0 before 6.0.22.
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1 valid exploit after Mallory filtered fakes, detection scripts, and README-only repos.
This repository contains a proof-of-concept exploit for CVE-2025-6713, a vulnerability in MongoDB (versions >6.0 <6.0.22, >7.0 <7.0.19, >8.0 <8.0.7) related to improper authorization handling in the $mergeCursors aggregation stage. The main file, CVE-2025-6713.py, demonstrates how an attacker can craft an aggregation pipeline to merge data from a restricted collection into a public collection, thereby bypassing access controls and reading sensitive data. The script sets up test data, connects to a MongoDB instance (defaulting to localhost:27017), and executes the malicious pipeline. The README provides setup and usage instructions, including how to configure the script for different database environments. The exploit requires network access to a vulnerable MongoDB instance and is written in Python, using the pymongo library. The repository is structured with a single exploit script, a README, a license, and a requirements file.
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6 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
A critical MongoDB aggregation vulnerability that allows unauthorized data access by bypassing RBAC, mentioned as part of the broader MongoDB vulnerability trend.
An authorization bypass vulnerability in MongoDB's $mergeCursors aggregation stage that can allow unauthorized data access by bypassing role-based access controls during distributed query execution.
Query your assets running an affected version, and investigate the blast radius.
Every observed campaign linking this CVE to a named adversary.
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Cross-references every affected SKU, including bundled OEM variants.
Community discussion across Reddit, Mastodon, and other social sources.