Mafifrizi

    Mafifrizi/ARES

    ARES - authorized red-team engagement automation with dashboard, campaign scope, module orchestration, OPSEC controls, encrypted vault, and reporting.

    backend
    frontend
    analytics
    security
    active-directory
    cloud-security
    defensive-validation
    fastapi
    good-first-issue
    Python
    MIT
    653 stars
    114 forks
    653 GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 131 days ago, with 2 contributors on GitHub.

    Use Cases & Benefits

    • Delivers an operator-directed red team engagement platform with campaign orchestration, scope enforcement, OPSEC controls, encrypted vault, and automated reporting.
    • Ensures fail-closed dual-layer scope enforcement and deterministic multi-stage attack path planning for secure, continuous, and auditable offensive security validation.
    • Use for executing targeted, authorized red team campaigns with strict network boundary controls and real-time lateral attack path visualization.
    • Use for continuous security posture validation in enterprise Active Directory and cloud environments using MITRE ATT&CK-aligned adversary modules.
    • Use for generating instant, branded, multi-format compliance reports and audit-ready deliverables without manual post-processing.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    • Owned by an individual account with only 2 contributors on GitHub; plan for bus-factor risk.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The open-core platform empowering enterprise red teams, MSSPs, and security operations centers to execute targeted offensive engagements, discover deterministic attack paths, and continuously validate defensive posture with deterministic scope enforcement and fail-closed isolation controls.

    Traditional penetration testing is fundamentally flawed: it is expensive, episodic, point-in-time, and leaves organizations blind to newly introduced misconfigurations and emerging adversary tradecraft. Meanwhile, automated vulnerability scanners overwhelm SOC teams with thousands of hypothetical CVEs without demonstrating exploitability or multi-stage lateral attack paths.

    ARES bridges this gap. Built from the ground up for modern enterprise infrastructure, ARES delivers an operator-directed red team engagement platform that models real-world threat actors. By combining deterministic application-layer ScopeGuard fail-closed enforcement, adaptive OPSEC noise profiling, an interactive directed acyclic graph (DAG) attack solver, and 66 active production execution modules (70 total catalogued) covering 60+ mapped adversary techniques across MITRE ATT&CK, ARES allows security teams to prove vulnerability exploitability, locate shortest compromise paths to Active Directory Crown Jewels, and generate executive-ready deliverables with zero operational downtime.

    Excerpt from the Mafifrizi/ARES README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    114+14

    Open issues

    9+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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