vulnerability / NVI-00016157 / Revision 1
Anyquery: Server-Side Request Forgery (SSRF) via Unrestricted SQLite Virtual Table Modules in Server Mode
GitHub lists this reviewed advisory for github.com/julien040/anyquery. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.
This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.
01 / Meaning
Why it matters
Published affected context helps an owner decide what evidence to gather. This report has not examined your application.
8.6 high
GitHub source severity; exploitability and local consequence require separate evidence.
As of · GitHub Advisory Database
02 / Applicability
The affected context
Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.
github.com/julien040/anyquery
source listed< 0.4.5
## Summary Anyquery's `server` mode does not restrict outbound HTTP requests initiated by its built-in SQLite virtual table modules (e.g., `json_reader`, `log_reader`). Unauthenticated attackers connecting to the MySQL-compatible server port can create virtual tables pointing to internal network endpoints or Cloud Metadata IPs (e.g., `http://169.254.169.254/latest/meta-data/`). This allows attackers to perform Server-Side Request Forgery (SSRF), bypassing external firewalls to scan internal ports and exfiltrate cloud credentials. ## Details When Anyquery is launched in **Server Mode** (`anyquery server`), it binds to a TCP port and accepts MySQL protocol connections. The server handler allows the creation of dynamic virtual tables using modules like `json_reader` or `log_reader`, which internally use `go-getter` to fetch URLs. There is no protection mechanism to prevent fetches to local (127.0.0.0/8), private (10.0.0.0/8), or special (169.254.169.254) IP addresses. An attacker can use this to map internal networks, interact with internal APIs, or steal IAM tokens from cloud metadata servers by fetching the data and reading it as a database table. ## PoC (Proof of Concept) 1. St
03 / Response
What to do next
- investigate
Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.
Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. GitHub Advisory Database
A fixed release is not deployment evidence.
Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.
04 / Limits
What this report cannot establish
- Customer inventory, deployment, reachability and exploitation have not been inspected.
05 / Provenance
Sources you can inspect
Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.
- GHSA-hwrq-8wxh-q4xv ↗
GitHub Advisory Database · vendor advisory
Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.
Public revision history
Only published revisions appear here. Routine fetches do not create a material-change event.
- Revision 1 ·
First indexed by Null; source disclosure date is shown separately.