CVE-2026-71235: 
Grafana vulnerability analysis and mitigation

CVE-2026-71235 is a code injection vulnerability in the Rules Engine component of Magistrala, an open-source IoT platform framework developed by absmach. The flaw allows authenticated low-privileged users to create rules containing embedded Go or Lua scripts that are executed server-side when IoT messages arrive, with no adequate sandboxing or input validation. Affected software is github.com/absmach/magistrala (all versions; specific patched versions are currently unknown). The vulnerability was published on August 5, 2026, and was assigned by TuranSec. It carries a CVSS v3.1 base score of 8.8 (High) per NVD, with an alternative score of 9.9 reported by ENISA (Github Advisory, Red Hat Bugzilla).

The vulnerability is classified as CWE-94 (Improper Control of Generation of Code / Code Injection). Two distinct script engines are affected: the Go engine (re/golang.go) uses the Yaegi interpreter loaded with stdlib.Symbols, exposing the full Go standard library — including os and net/http — with validation limited only to a regex that blocks goroutine creation and panic() calls, leaving dangerous functions such as os.ReadFile, os.WriteFile, os.Remove, and os.Environ fully accessible. The Lua engine (re/lua.go) performs no input validation whatsoever and preloads dangerous libraries including db (arbitrary database access), ioutil (file I/O), an HTTP client (enabling SSRF), and filepath (path traversal). An attacker with any authenticated account can craft a malicious rule script and trigger its execution by sending an IoT message to the platform (Red Hat Bugzilla, Github Advisory).

Successful exploitation allows an authenticated low-privileged user to achieve arbitrary file read and write on the server, leak environment variables (including secrets and service tokens), perform arbitrary database queries, and conduct Server-Side Request Forgery (SSRF) against internal microservices within the Magistrala deployment. Given that Magistrala uses service tokens and internal credentials stored in environment variables (e.g., MG_ATOM_TOKEN_*, broker secrets), environment variable leakage could enable lateral movement to other platform components such as the message broker, database, and identity services. The combination of file I/O, database access, and SSRF makes full platform compromise feasible from a single low-privileged account (Red Hat Bugzilla, Github Advisory).

No public proof-of-concept exploit code is known to exist, and there is no evidence of in-the-wild exploitation at this time (Github Advisory). The NVD SSVC assessment classifies exploitation as "none" and the attack as non-automatable, as it requires an authenticated session. The EPSS score is approximately 0.288% (21st percentile), indicating a relatively low near-term exploitation probability. The vulnerability has not been added to the CISA Known Exploited Vulnerabilities (KEV) catalog. A Nessus detection plugin (ID 332742) has been published by Tenable, and the CVE appeared in a CISA vulnerability bulletin (SB26-222) for awareness.

1. Obtain authenticated access: Register or compromise a low-privileged user account on the target Magistrala instance. No elevated privileges are required.
2. Access the Rules Engine: Navigate to the Rules Engine feature (Enterprise Edition) via the Magistrala API or UI and create a new rule targeting an IoT channel.
3. Craft a malicious Go script payload: Embed a Go script using the Yaegi interpreter that calls dangerous standard library functions, for example:

   import "os"
   data, _ := os.ReadFile("/proc/1/environ")
   // exfiltrate via os.WriteFile or net/http

   This bypasses the blocklist since only goroutine creation and panic() are restricted.
4. Alternatively, craft a malicious Lua script payload: Use the preloaded ioutil, db, or HTTP client libraries in a Lua rule script, for example, reading a sensitive file or making an internal HTTP request to an internal microservice endpoint (SSRF).
5. Trigger rule execution: Publish an IoT message to the channel associated with the malicious rule. The Rules Engine executes the embedded script server-side upon message arrival.
6. Collect results: Retrieve exfiltrated data (environment variables, file contents, database records) via an attacker-controlled endpoint or by reading output written to an accessible location (Red Hat Bugzilla, Github Advisory).

• Logs: Rules Engine service logs showing script execution errors or unexpected standard library calls (e.g., os.ReadFile, os.WriteFile, os.Environ) within user-submitted rule scripts; unusual database query patterns originating from the Rules Engine process.
• Network: Outbound HTTP requests from the Rules Engine container/process to internal microservice addresses (e.g., Atom, FluxMQ, TimescaleDB endpoints) not matching normal service-to-service communication patterns; outbound connections to external attacker-controlled IPs from the Rules Engine.
• File System: New or modified files in directories accessible to the Rules Engine process; unexpected reads of sensitive files such as /proc/*/environ, service configuration files, or TLS certificate/key files (e.g., docker/ssl/certs/, docker/fluxmq/secrets/).
• Process: Unusual child processes spawned by the Rules Engine Go process; evidence of file I/O operations on sensitive paths in OS-level audit logs (auditd).
• Application: Newly created rules by low-privileged users containing Go os.* or net/http calls, or Lua scripts using ioutil, db, filepath, or HTTP client library calls.

No official patch with a specific fixed version has been identified at this time; the GitHub Advisory Database lists both affected and patched versions as unknown (Github Advisory). Recommended mitigations include: restricting rule creation permissions to highly trusted administrators only; implementing strict input validation and sandboxing for both Go and Lua script engines; disabling or removing dangerous standard library preloads (db, ioutil, HTTP client, filepath) from the Lua engine; replacing the Go engine's regex blocklist with an allowlist of safe operations; running the Rules Engine in an isolated container with minimal filesystem permissions, no access to sensitive paths, and restricted network egress; and regularly auditing existing rules for malicious payloads. Monitor the Magistrala GitHub repository and GitHub Advisory GHSA-vq5v-m87m-6pqm for patch releases.

The vulnerability was reported by TuranSec and tracked by Red Hat's Product Security team via Bugzilla, with 133 CC'd users indicating broad internal awareness (Red Hat Bugzilla). The CVE was referenced in a CISA vulnerability bulletin (SB26-222), and a Tenable Nessus detection plugin (ID 332742) was published shortly after disclosure. No notable public researcher commentary or significant social media discussion has been identified beyond standard vulnerability aggregator coverage.