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Bright Agent — Downloads

Official distribution channel for Bright Agent, an agentic DAST solution by Bright Security that autonomously analyzes, builds, scans, validates, and fixes security vulnerabilities in your applications.

This repository hosts the prebuilt binaries only. Grab the latest from the Releases page.

Download

Pick the binary for your platform:

Platform Asset
Linux x86-64 bright-agent-linux-x64
Linux ARM64 bright-agent-linux-arm64
macOS Apple Si. bright-agent-darwin-arm64
macOS Intel bright-agent-darwin-x64

Each binary ships with a matching .sha256 checksum file.

VERSION=v0.1.0
ASSET=bright-agent-linux-x64
base="https://github.com/BrightSec/bright-agent-dist/releases/download/${VERSION}"

curl -fsSL -o "$ASSET"        "$base/$ASSET"
curl -fsSL -o "$ASSET.sha256" "$base/$ASSET.sha256"
sha256sum -c "$ASSET.sha256"   # verify integrity
chmod +x "$ASSET"

macOS binaries are not yet code-signed; you may need to clear the Gatekeeper quarantine attribute: xattr -d com.apple.quarantine ./bright-agent-darwin-arm64.

Prerequisites

Bright Agent drives your local toolchain to build and run the target app, so the following must be installed and on PATH:

  • Docker and Docker Compose — to build and run the target app and its services
  • Git — to clone the repository and push fixes

These are not bundled in the binary.

Run

# Run from inside a checkout of the repo you want to scan
# (LOCAL_REPO_PATH defaults to the current directory):
cd /path/to/your/repo-checkout
REPO_ACCESS_TOKEN="your-git-pat" \
BRIGHT_TOKEN="your-bright-api-token" \
INFERENCE_URL="https://api.openai.com/v1" \
INFERENCE_TOKEN="your-inference-token" \
/path/to/bright-agent-linux-x64
Variable Required Description
LOCAL_REPO_PATH No Path to the checked-out repo to scan. Defaults to the current directory. Bright Agent runs against this working copy — it does not clone
REPO_ACCESS_TOKEN Yes Token that can push branches and open PRs
BRIGHT_TOKEN Yes Bright API token from https://app.brightsec.com
INFERENCE_TOKEN Varies API token for your inference endpoint. Not needed for AWS Bedrock with IAM — the agent generates a token from ambient AWS credentials when this is unset and the URL points to Bedrock. See examples/ci/README.md
INFERENCE_URL No Your inference endpoint. Default: https://api.openai.com/v1 (OpenAI). Also works with Anthropic (https://api.anthropic.com), AWS Bedrock (https://bedrock-mantle.<region>.api.aws/v1), Azure OpenAI / Foundry (https://<resource>.openai.azure.com/openai/v1), Ollama, or any OpenAI-compatible gateway
REPOSITORY_URL No Repo identity for the PR. Derived from the checkout's origin remote if omitted
AI_MODEL No Model name or comma-separated escalation chain. Default: gpt-5.4-mini
RUN_MODE No full (default): build and start the app and scan, falling back to function-harness mode if startup fails. dynamic: full startup only, no harness fallback, fails hard. function: skip startup, wrap security-critical functions in a lightweight HTTP harness and scan those. validation: validate CodeQL/SARIF findings against live DAST, no fix loop. fuzzing: drive the external evolutionary fuzzer against generated per-function harnesses to find crashes, hangs, and memory bugs, with no app startup and no Bright cloud scan. See Fuzzing mode

The FUZZER_* variables below apply only when RUN_MODE=fuzzing.

Variable Required Description
FUZZER_BIN No Explicit path to a fuzzer binary. If unset, the agent looks for fuzzer on PATH, then downloads the static linux-x64 release from BrightSec/fuzzer-dist (sha256-verified)
FUZZER_VERSION No Fuzzer release to download. Defaults to latest; set e.g. 0.2.2 to pin
FUZZER_EPOCHS No Max evolution epochs per fuzzed function. If unset, sized per-function from the LLM complexity rating (about 150 to 800); setting it overrides that
FUZZER_TIMEOUT No Per-input timeout in seconds; a hang past this is a finding (default: 5)
FUZZER_MAX_MEMORY No Per-input peak-memory budget (e.g. 512MB); exceeding it is a finding. Unset by default

Bring your own inference provider — OpenAI, Azure OpenAI / Foundry, Anthropic (Claude), AWS Bedrock, Ollama, or any OpenAI-compatible gateway. (If you use OpenAI directly you can also set OPENAI_API_KEY instead of INFERENCE_TOKEN.)

The agent auto-detects the provider from the URL:

  • api.openai.com → OpenAI
  • api.anthropic.com → Anthropic (Claude)
  • bedrock-mantle.<region>.api.aws → AWS Bedrock (OpenAI-compatible, plus the native Claude Messages API for anthropic.* models)
  • *.openai.azure.com / *.services.ai.azure.com → Azure OpenAI / Foundry
  • localhost:11434 → Ollama
  • Anything else → OpenAI-compatible

The agent keeps the console quiet by default and writes a full, secret-redacted diagnostic log to ~/.bright-agent/logs/run-<timestamp>.log. Set BRIGHT_DEBUG=1 to mirror it to the console.

CI Integration

Ready-to-copy pipeline templates live in examples/ci/:

The GitHub Actions, Azure Pipelines, GitLab CI/CD, and Bitbucket Pipelines templates cover manual/nightly scans, pull-request/merge-request-scoped runs (reacting into the PR/MR with fixes + a status), and /bright-agent comment steering — re-run with guidance when a scan can't finish (on Azure via a Build Validation policy + Service Hook; on GitLab via a note webhook + pipeline trigger; on Bitbucket via PR comments). See examples/ci/README.md for required secrets and runner notes. Run scans on a schedule or on demand — not on every push.

Fuzzing mode

RUN_MODE=fuzzing hunts non-DAST robustness bugs (crashes, hangs, and memory blow-ups) in code reachable past input validation. It is self-contained: no app startup, no Bright cloud, no repeater, no auth, and no scan loop. It resolves the evolutionary fuzzer binary (FUZZER_BIN, then fuzzer on PATH, then downloads the static linux-x64 release from BrightSec/fuzzer-dist, sha256-verified), builds a per-function Docker harness, and security-triages the faults so the PR carries genuine risks with a reproducing payload. Requires Docker and a Linux x64 host.

# Run from inside a checkout of the repo you want to scan:
RUN_MODE=fuzzing FUZZER_EPOCHS=500 /path/to/bright-agent-linux-x64

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