Full Report
Tenable researchers recently discovered seven new ChatGPT vulnerabilities and attack techniques that can be exploited for data theft and other malicious purposes. The attack methods are related to several features. One of them is the ‘bio’ feature, also known as ‘memories’, which enables ChatGPT to remember the user’s details and preferences across chat sessions. Another…
Analysis Summary
The provided article summarizes research findings by Tenable regarding vulnerabilities in ChatGPT related to its 'bio' (memories) feature and the 'open\_url' function used for web browsing (SearchGPT). However, the article **does not provide specific CVE identifiers, CVSS scores, exact affected versions, or available patch information.** The details are focused on the *nature* of the attack vectors discovered.
Here is the structured summary based only on the context provided in the article snippet:
# Vulnerability: ChatGPT Data Theft via Memories and Search Features
## CVE Details
- CVE ID: Not specified in the provided context.
- CVSS Score: Not specified in the provided context.
- CWE: Not specified in the provided context (likely associated with Improper Access Control or Injection flaws, but unconfirmed by the source).
## Affected Systems
- Products: ChatGPT (specifically features like 'bio'/'memories' and the underlying 'open\_url' function leveraging SearchGPT).
- Versions: Not specified in the provided context.
- Configurations: Relevant configuration includes the activation of the 'bio'/'memories' feature and the ability for the model to utilize web browsing capabilities ('open\_url').
## Vulnerability Description
Tenable researchers identified seven vulnerabilities and attack techniques aimed at data theft and other malicious outcomes. The primary vectors highlighted are exploiting the **'bio' feature (memories)**, which stores user details and preferences across sessions, and the **'open\_url' command-line function** used by the system (via SearchGPT) to render web content. The implication is that an attacker could potentially leverage these pathways to steal stored memory data or misuse the web browsing functionality.
## Exploitation
- Status: Research findings announced; exploitation status (in the wild) is unknown based on this snippet.
- Complexity: Not explicitly stated, but exploiting LLM integrations typically requires Medium to High complexity crafting specific inputs.
- Attack Vector: Likely input-based (prompt injection, payload delivery via URL, or manipulation of memory recall).
## Impact
- Confidentiality: High (Potential for data theft of user details stored in "memories").
- Integrity: Undetermined, but potential for data manipulation.
- Availability: Undetermined.
## Remediation
### Patches
- No specific patch versions were mentioned in the provided text.
### Workarounds
- Temporary mitigations likely involve disabling the affected features ('memories'/'bio') and/or disabling the web browsing capability until vendor fixes are released.
## Detection
- Detection methods are not detailed in the provided context. General detection would involve monitoring unusual data extraction requests or unexpected external resource fetching by the internal browsing agent.
## References
- Vendor advisories: None specific cited (The research was conducted by Tenable).
- Relevant links - defanged:
- hxxps://threatbeat.com/researchers-hack-chatgpt-memories-and-web-search-features/
- hxxps://www.securityweek.com/researchers-hack-chatgpt-memories-and-web-search-features/ (Cited source for details)