Most AI-generated code ships without a single security control built in. Code:Sniper scans your source in minutes using AI agents backed by over a decade of penetration testing work. You upload, we scan, you get a report you can actually act on.
⚠ CRITICAL: Hardcoded AWS secret key
→ src/config.js:14 · AWS_SECRET_KEY = "AKIA…redacted"
⚠ CRITICAL: Second-order SQL injection
→ src/admin/reports.py:88 · stored user.bio reflected into admin report query
⚠ HIGH: Insecure deserialization (pickle)
→ src/middleware/session.py:31 · pickle.loads() on signed session cookie payload
⚠ HIGH: Session pollution, cross-tenant key collision
→ src/auth/session_store.py:57 · unscoped Redis key auth:{user_id}
⚠ HIGH: Server-side prototype pollution
→ src/utils/deepMerge.ts:22 · __proto__ reachable via request body
ℹ MEDIUM: JWT HS256 with default fallback secret
→ src/auth/jwt.py:14 · os.getenv("JWT_SECRET", "dev-secret")
ℹ MEDIUM: Outdated dependency with known CVE
→ lodash@4.17.20 → CVE-2021-23337
✓ Report generated. 2 critical, 6 high, 9 medium findings.
No configuration, no CI/CD integration. Upload your source code and get a professional security assessment back.
Upload your source code as a ZIP file. We support JavaScript, TypeScript, Python, Go, Rust, Java, and more.
Our AI agents run 20+ general tools, 35+ specialized modules and a deep code review in parallel, guided by security prompts we wrote ourselves.
You get a full Markdown report with actionable fixes plus an AI-ready remediation file your coding agent can apply directly.
10+
Years pentesting experience
20+
General security tools
35+
Specialized analysis modules
~10 min
Average scan time
We are rolling out access gradually to a hand-picked group of teams and individual security researchers. The product is already useful in production, but during the beta phase features can change at short notice, occasional technical errors or imperfect analysis results may occur, and we cannot guarantee uninterrupted availability.
Two tiers and one optional human review add-on. Pricing and self-service checkout will be unlocked once Code:Sniper leaves the closed beta - until then, access is granted on request.
One account for one developer or security engineer at a registered company. Unlimited ZIP scans and every specialist agent, billed per seat.
Multiple seats, shared projects, priced per company.
Pro and Enterprise are available to registered companies only.
Code:Sniper is a professional offensive-security tool, and we take that seriously. Before activating a paid tier we verify legal company information such as a commercial register entry or equivalent. If you are a legitimate security researcher without a company entity, reach out and we will review your case personally.
A senior penetration tester with OSCP+ and OSED certifications from OffSec personally reviews your results, weeds out false positives, and gives you remediation guidance grounded in real engagement experience. Bookable per project on any tier, Free, Pro or Enterprise.
one-time, per project
A model answers a prompt. Code:Sniper runs a complete security engagement around the model - here is what that actually means.
Code:Sniper Full security engagement | A single prompt One model, your own instructions | A frontier model alone The latest single model, on its own | A general AI assistant Chat / coding copilot | |
|---|---|---|---|---|
| Runs 20+ deterministic security tools (SAST, secret & dependency scanners) | ||||
| 35+ specialized analysis modules, each with its own threat model | ||||
| Prompts & audit rules hand-written by certified pentesters | ||||
| Guaranteed whole-repository coverage, independent of the context window | ||||
| Findings grounded in verified tool evidence, not guesswork | ||||
| Independent cross-agent validation & false-positive filtering | ||||
| Reproducible, structured report + ready-to-apply AI remediation file | ||||
| Gets stronger as the underlying models improve (model-agnostic) | ||||
| Optional review by a certified human pentester |
The honest, technical answers to what teams ask us most.
Because a prompt gives you a single, unverified opinion - Code:Sniper runs a full security process around the model. Four things a raw prompt cannot do:
On top of that you get a reproducible, structured report: the same code yields the same result every run, instead of different free-form prose each time.
The opposite - a better model makes Code:Sniper better, not redundant. Code:Sniper is an orchestration layer, not a model.
We already run multiple models under the hood with automatic fallback and a deep-reasoning mode for hard cross-file analysis. When a stronger model ships, we plug it in and every customer benefits the same day - without losing the parts a raw model will never give you on its own:
A model answers a prompt. Code:Sniper runs a complete security engagement around that model - and rides the same improvement curve while keeping everything else.
No. The LLM is one component inside a pipeline. Before any model is invoked, your code is validated, safely extracted and scanned by 20+ deterministic security tools. Those verified results are routed to specialist agents driven by prompts and curated Semgrep rules we wrote ourselves.
After the agents run, a cross-agent validator reconciles conflicts, a fact-checker removes false positives, duplicates are merged deterministically, and the final report is rendered directly from structured data - not re-generated by a model. Take the LLM out and you still have a working scanner; take the orchestration out and a model alone cannot reproduce any of it.
A coding assistant reasons over the few files in its context and optimizes for writing code, not for adversarial review. It has no deterministic scanners, no guaranteed coverage of your whole repository, no independent validation, and no reproducible output.
Code:Sniper is built by offensive-security specialists to think like an attacker: it sweeps every sink in the codebase, grounds findings in tool evidence, runs domain specialists in parallel and hands you an actionable, structured report - plus an optional review by a certified human pentester.
That is exactly why we never rely on the model alone. Real bugs are caught deterministically: every specialist greps its language-specific sinks across the full tree and must return a verdict on each match, so coverage is not left to the model’s discretion.
Invented bugs are filtered out: a dedicated fact-checking stage cross-references each agent finding against the actual source and tool output, flips false positives, and de-duplicates before the report is written. Curated audit rules encode known issues permanently, with zero inference involved.
Code:Sniper includes those tools and goes further. Classic SAST is great at pattern matches but drowns you in noise and cannot reason about business logic, multi-step exploit chains, or context-dependent flaws.
Code:Sniper runs the scanners for you, then layers specialist agents on top to interpret the results, find logic and cross-file issues that pattern matching misses, strip false positives, and deliver one prioritized report with concrete remediation - instead of several raw tool outputs you have to triage by hand.