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CVE Vulnerability Database
Vulnerability Database/CVE-2024-55272

CVE-2024-55272: Braina Information Disclosure Flaw

CVE-2024-55272 is an information disclosure vulnerability in Brainasoft Braina v2.8 that allows remote attackers to obtain sensitive data via the chat window. This article covers technical details, affected versions, and mitigation.

Published: May 26, 2026

CVE-2024-55272 Overview

CVE-2024-55272 is an information disclosure vulnerability in Brainasoft Braina v2.8, an AI-powered virtual assistant application. The flaw resides in the chat window function and allows a remote attacker to obtain sensitive information without authentication or user interaction. The vulnerability is tracked under CWE-200: Exposure of Sensitive Information to an Unauthorized Actor. A public proof-of-concept exists in a GitHub PoC Repository, increasing the practical risk of exploitation against unpatched installations.

Critical Impact

Remote, unauthenticated attackers can extract sensitive information through the chat window function in Braina v2.8, leading to confidentiality loss.

Affected Products

  • Brainasoft Braina v2.8
  • Earlier Braina versions sharing the same chat window implementation may also be affected
  • Deployments exposing the Braina chat interface to networks are at elevated risk

Discovery Timeline

  • 2025-02-07 - CVE-2024-55272 published to NVD
  • 2026-04-15 - Last updated in NVD database

Technical Details for CVE-2024-55272

Vulnerability Analysis

The vulnerability is classified as an information exposure issue under CWE-200. It affects the chat window functionality of Brainasoft Braina v2.8, the user-facing component that handles conversational input and output. A remote attacker can interact with this function over the network and extract sensitive information that should not be accessible. The attack requires no authentication, no privileges, and no user interaction, which makes opportunistic exploitation feasible against any reachable instance.

Root Cause

The root cause is improper restriction of sensitive data exposed through the chat window function. The component returns or processes information that should be access-controlled or sanitized before reaching the requester. Without proper authorization checks or output filtering on the chat interface, the application discloses data to any actor able to reach the endpoint. Public technical details and a proof-of-concept are referenced in the GitHub PoC Repository.

Attack Vector

Exploitation occurs over the network against the chat window function exposed by Braina v2.8. The attacker submits crafted interactions to the chat interface and receives sensitive information in the response. Because the issue impacts confidentiality only, attackers focus on harvesting data such as configuration details, user content, or other artifacts surfaced through the chat flow. Integrity and availability of the host system are not directly affected by the flaw.

No verified exploitation code is available beyond the referenced proof-of-concept. The vulnerability mechanism is described in prose based on the official CVE record and the linked PoC repository.

Detection Methods for CVE-2024-55272

Indicators of Compromise

  • Unusual outbound responses from Braina hosts containing configuration strings, file paths, or chat artifacts not associated with legitimate user sessions
  • Repeated chat window requests from a single remote source targeting unauthenticated endpoints
  • Network connections to Braina chat interfaces from non-corporate or anonymizing IP ranges

Detection Strategies

  • Inspect application and network logs for anomalous query patterns against the Braina chat window function
  • Compare baseline chat traffic volumes and source distributions to identify enumeration or scraping behavior
  • Hunt for process and network telemetry on endpoints running Braina v2.8 that indicates external interaction with the chat component

Monitoring Recommendations

  • Forward endpoint, application, and network logs from systems running Braina into a centralized analytics platform for correlation
  • Alert on high-frequency or sequential chat requests from external sources targeting Braina hosts
  • Track data egress volumes from workstations running Braina and flag deviations from normal user behavior

How to Mitigate CVE-2024-55272

Immediate Actions Required

  • Inventory all hosts running Brainasoft Braina v2.8 and restrict their network exposure to trusted local networks
  • Block external access to the Braina chat window function at the host firewall and network perimeter
  • Treat any sensitive data previously entered into Braina chat sessions on affected systems as potentially exposed

Patch Information

No vendor advisory or fixed version is referenced in the NVD record for CVE-2024-55272 at the time of publication. Administrators should monitor Brainasoft for an official patch and upgrade to a fixed release once available. Until a patched build is published, compensating controls must be applied to limit exposure.

Workarounds

  • Run Braina only on isolated workstations that are not reachable from untrusted networks
  • Disable or uninstall Braina v2.8 in environments where the chat window function cannot be network-restricted
  • Avoid entering sensitive credentials, proprietary data, or regulated information into Braina sessions until a fix is verified
bash
# Example: restrict inbound access to a Braina host on Windows using netsh
netsh advfirewall firewall add rule name="Block-Braina-Inbound" ^
  dir=in action=block program="C:\Program Files\Braina\Braina.exe" ^
  enable=yes profile=any

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechBrainasoft Braina

  • SeverityHIGH

  • CVSS Score7.5

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-200
  • Technical References
  • GitHub PoC Repository
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