vanna-ai vanna read_csv/read_csv_auto/read_text/read_blob server-side request forgery

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.7$0-$5k0.00

Summaryinfo

A vulnerability has been found in vanna-ai vanna and classified as critical. This affects the function read_csv/read_csv_auto/read_text/read_blob. Performing a manipulation results in server-side request forgery. This vulnerability is cataloged as CVE-2024-8099. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as critical has been found in vanna-ai vanna (the affected version unknown). This affects the function read_csv/read_csv_auto/read_text/read_blob. The manipulation with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

A Server-Side Request Forgery (SSRF) vulnerability exists in the latest version of vanna-ai/vanna when using DuckDB as the database. An attacker can exploit this vulnerability by submitting crafted SQL queries that leverage DuckDB's default features, such as `read_csv`, `read_csv_auto`, `read_text`, and `read_blob`, to make unauthorized requests to internal or external resources. This can lead to unauthorized access to sensitive data, internal systems, and potentially further attacks.

The advisory is shared at huntr.com. This vulnerability is uniquely identified as CVE-2024-8099 since 08/22/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/20/2025).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.8
VulDB Meta Temp Score: 7.7

VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 8.3
CNA Vector (@huntr_ai): 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/22/2024 🔍
03/20/2025 +210 days 🔍
03/20/2025 +0 days 🔍
03/20/2025 +0 days 🔍

Sourcesinfo

Advisory: huntr.com
Status: Not defined

CVE: CVE-2024-8099 (🔍)
GCVE (CVE): GCVE-0-2024-8099
GCVE (VulDB): GCVE-100-300429

Entryinfo

Created: 03/20/2025 15:14
Changes: 03/20/2025 15:14 (62)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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