Vanna Ai
Monthly
Arbitrary file write and unauthorized file read in Vanna (the open-source AI SQL agent) through version 2.0.2 allows unauthenticated remote attackers to escape the FileSystemConversationStore base directory by injecting path traversal sequences into the conversation_id parameter of the chat API. Because the affected endpoints require no authentication, an attacker can write attacker-controlled JSON to arbitrary filesystem locations and read conversation metadata from outside the intended store - publicly available exploit code exists and the flaw was reported by VulnCheck. No CISA KEV listing is present, so there is no public exploit identified as being actively used in the wild.
Improper authorization in Vanna AI's Legacy Flask API allows remote unauthenticated attackers to bypass authentication controls and gain unauthorized access. Affects Vanna versions up to 2.0.2. A publicly available proof-of-concept exploit has been disclosed on GitHub, though vendor has not responded to disclosure. CVSS 7.3 severity reflects network-accessible attack with low complexity requiring no privileges or user interaction, enabling confidentiality, integrity, and availability impacts.
Cross-Origin Resource Sharing (CORS) misconfiguration in vanna-ai vanna up to version 2.0.2 allows authenticated remote attackers to establish permissive cross-domain policies with untrusted domains, leading to information disclosure. The vulnerability affects the FastAPI/Flask Server component and has publicly available exploit code; however, the vendor has not responded to early disclosure attempts. With a CVSS score of 5.3 and confirmed public exploit availability, this represents a moderate-risk authentication-gated information exposure issue.
Missing authentication in vanna-ai vanna Chat API endpoint (/api/vanna/v2/) allows unauthenticated remote attackers to perform unauthorized operations with low-complexity attacks. Affects vanna-ai vanna versions up to 2.0.2. Publicly available exploit code exists (GitHub POC published), increasing immediate exploitation risk. CVSS 7.3 reflects network-accessible attack vector with no authentication required and impacts to confidentiality, integrity, and availability. Vendor did not respond to early disclosure notification.
SQL injection in vanna-ai vanna versions up to 2.0.2 allows authenticated remote attackers to manipulate the ask function in vanna/legacy/base/base.py, potentially enabling data exfiltration or modification. Public exploit code exists for this vulnerability, and no patch is currently available from the vendor despite early notification.
A code injection vulnerability exists in vanna-ai vanna up to version 2.0.2, specifically in the exec function of the /src/vanna/legacy file. This authenticated remote code injection allows attackers with login credentials to execute arbitrary code with limited impact on confidentiality, integrity, and availability. A proof-of-concept exploit has been publicly disclosed on GitHub, and the vendor has not responded to early disclosure notifications, making this an active concern for deployed instances.
Server-side request forgery in Vanna AI versions up to 2.0.2 allows unauthenticated remote attackers to manipulate the update_sql and run_sql endpoints in the Flask component. Public exploit code exists for this vulnerability, and no patch is currently available from the vendor despite early notification.
SQL injection in Vanna up to version 2.0.2 allows authenticated remote attackers to execute arbitrary SQL queries through the update_sql endpoint function. Public exploit code exists for this vulnerability, and the vendor has not released a patch despite early notification. An authenticated attacker can leverage this to read, modify, or delete database contents depending on the application's database permissions.
SQL injection in Vanna AI's BigQuery integration (versions up to 2.0.2) allows unauthenticated remote attackers to manipulate the remove_training_data function through unsanitized ID parameters. Public exploit code exists for this vulnerability, and the vendor has not released a patch despite early notification. Successful exploitation enables attackers to read, modify, or delete database contents with limited impact on confidentiality, integrity, and availability.
Arbitrary file write and unauthorized file read in Vanna (the open-source AI SQL agent) through version 2.0.2 allows unauthenticated remote attackers to escape the FileSystemConversationStore base directory by injecting path traversal sequences into the conversation_id parameter of the chat API. Because the affected endpoints require no authentication, an attacker can write attacker-controlled JSON to arbitrary filesystem locations and read conversation metadata from outside the intended store - publicly available exploit code exists and the flaw was reported by VulnCheck. No CISA KEV listing is present, so there is no public exploit identified as being actively used in the wild.
Improper authorization in Vanna AI's Legacy Flask API allows remote unauthenticated attackers to bypass authentication controls and gain unauthorized access. Affects Vanna versions up to 2.0.2. A publicly available proof-of-concept exploit has been disclosed on GitHub, though vendor has not responded to disclosure. CVSS 7.3 severity reflects network-accessible attack with low complexity requiring no privileges or user interaction, enabling confidentiality, integrity, and availability impacts.
Cross-Origin Resource Sharing (CORS) misconfiguration in vanna-ai vanna up to version 2.0.2 allows authenticated remote attackers to establish permissive cross-domain policies with untrusted domains, leading to information disclosure. The vulnerability affects the FastAPI/Flask Server component and has publicly available exploit code; however, the vendor has not responded to early disclosure attempts. With a CVSS score of 5.3 and confirmed public exploit availability, this represents a moderate-risk authentication-gated information exposure issue.
Missing authentication in vanna-ai vanna Chat API endpoint (/api/vanna/v2/) allows unauthenticated remote attackers to perform unauthorized operations with low-complexity attacks. Affects vanna-ai vanna versions up to 2.0.2. Publicly available exploit code exists (GitHub POC published), increasing immediate exploitation risk. CVSS 7.3 reflects network-accessible attack vector with no authentication required and impacts to confidentiality, integrity, and availability. Vendor did not respond to early disclosure notification.
SQL injection in vanna-ai vanna versions up to 2.0.2 allows authenticated remote attackers to manipulate the ask function in vanna/legacy/base/base.py, potentially enabling data exfiltration or modification. Public exploit code exists for this vulnerability, and no patch is currently available from the vendor despite early notification.
A code injection vulnerability exists in vanna-ai vanna up to version 2.0.2, specifically in the exec function of the /src/vanna/legacy file. This authenticated remote code injection allows attackers with login credentials to execute arbitrary code with limited impact on confidentiality, integrity, and availability. A proof-of-concept exploit has been publicly disclosed on GitHub, and the vendor has not responded to early disclosure notifications, making this an active concern for deployed instances.
Server-side request forgery in Vanna AI versions up to 2.0.2 allows unauthenticated remote attackers to manipulate the update_sql and run_sql endpoints in the Flask component. Public exploit code exists for this vulnerability, and no patch is currently available from the vendor despite early notification.
SQL injection in Vanna up to version 2.0.2 allows authenticated remote attackers to execute arbitrary SQL queries through the update_sql endpoint function. Public exploit code exists for this vulnerability, and the vendor has not released a patch despite early notification. An authenticated attacker can leverage this to read, modify, or delete database contents depending on the application's database permissions.
SQL injection in Vanna AI's BigQuery integration (versions up to 2.0.2) allows unauthenticated remote attackers to manipulate the remove_training_data function through unsanitized ID parameters. Public exploit code exists for this vulnerability, and the vendor has not released a patch despite early notification. Successful exploitation enables attackers to read, modify, or delete database contents with limited impact on confidentiality, integrity, and availability.