Go Code Checker: Free Online Security Analysis for Go Applications

CodeSlick analyzes Go code with 26 security checks purpose-built for cloud-native applications. Go's concurrency model and standard library introduce distinct vulnerability classes — race conditions in goroutines, unsafe use of os/exec, and cryptographic pitfalls from the math/rand vs crypto/rand confusion. All findings include CWE classification and CVSS scoring.

Injection

• Command injection: exec.Command() with user-controlled arguments — critical in Go microservices that invoke system tools
• SQL injection: String formatting in db.Query(), db.Exec()
• Path traversal: os.Open(), os.ReadFile() with unsanitized user-supplied paths
• SSRF: http.Get() with user-controlled URLs without allowlist validation

Concurrency

• Data races: Shared mutable state accessed from multiple goroutines without synchronization (maps, slices, struct fields)
• Channel misuse: Unbuffered channel sends in goroutines that can deadlock under load

Cryptography

• Weak random: math/rand used for tokens, session IDs, or keys (must use crypto/rand)
• Weak hash: crypto/md5 or crypto/sha1 for security-sensitive operations
• Hardcoded secrets: API keys, tokens, and private keys embedded in Go source
• TLS skip verify: InsecureSkipVerify: true in tls.Config — disables certificate validation

Cloud-Native Patterns

• Environment variable exposure: Logging os.Getenv() results that may contain secrets
• HTTP timeouts: http.Client without timeout — vulnerable to slow-loris and resource exhaustion
• Goroutine leaks: Background goroutines started without context cancellation

CodeSlick's Go analyzer was designed for cloud-native code: microservices, Kubernetes controllers, and API servers. It understands patterns specific to this context:

• net/http server hardening: Missing timeouts on http.Server that expose services to slowloris attacks
• gRPC patterns: Unvalidated proto fields passed to downstream operations
• AWS SDK usage: IAM permission grants and S3 bucket operations with user-controlled parameters

CodeSlick covers 47 AI code detection patterns for Go — the largest of any language — because Go's strict type system creates distinctive hallucination patterns in LLM-generated code.

CodeSlick includes 47 Go-specific AI code detection patterns — more than any other supported language. Go's strict type system and idiomatic patterns create distinctive hallucinations in LLM-generated code:

• Interface implementation errors: LLMs frequently generate incorrect interface implementations that compile but panic at runtime
• Error handling idioms: AI-generated Go often uses non-idiomatic error wrapping or swallows errors in ways that violate Go conventions
• Channel and goroutine patterns: Incorrect goroutine lifecycle management characteristic of LLM generation
• Value vs pointer receiver confusion: Common LLM mistake that causes subtle bugs with mutability

No account required:

1. Visit codeslick.dev/analyze
2. Select Go from the language selector
3. Paste your Go code or upload a .go file
4. Click Analyze
5. Review findings with CWE classification and CVSS severity

For full module analysis including go.sum dependency scanning and pre-commit hooks, use the CodeSlick CLI.