The Challenge
Security vulnerabilities do not only live in the code your team writes. A significant proportion of real-world breaches exploit weaknesses in:
- Third-party dependencies with publicly documented CVEs that simply haven’t been updated
- Infrastructure configurations granting broader permissions than necessary
- Container and deployment configurations with insecure defaults
- Cloud resource policies that expose services unnecessarily
- Transitive dependencies pulled in by direct packages without awareness
The challenge is that these issues are not visible in application logic review. A developer updating a package.json or Terraform file may not know that the version they’ve pinned has a critical vulnerability, or that the IAM policy they’ve copied from documentation is overly permissive. Standard code review processes have no mechanism to flag these risks.
The Autohive Solution
The Autohive Security Review Agent extends its security analysis beyond application code to cover dependency manifests and infrastructure configurations included in pull requests. When these files change, the agent evaluates them for known vulnerabilities, permission creep, and common misconfigurations.
Dependency Vulnerability Detection
The agent reviews changes to dependency files (package.json, requirements.txt, Gemfile, pom.xml, go.mod, and others), identifying packages with known CVEs and flagging version pinning that exposes the application to documented attack vectors.
Infrastructure Configuration Analysis
For cloud configurations, Terraform files, Kubernetes manifests, Docker configurations, and CI/CD pipeline definitions, the agent checks for overly permissive IAM policies, exposed ports, missing encryption at rest, and other misconfigurations that create exploitable attack surfaces.
Principle of Least Privilege Enforcement
The agent evaluates access control configurations against the principle of least privilege, flagging wildcard permissions, overly broad resource access, and missing deny rules that could allow privilege escalation in the deployed environment.
Benefits
- Close supply chain attack vectors — Prevent known-vulnerable packages from entering your dependency tree
- Shrink your attack surface — Catch overly permissive configurations before they are deployed
- Reduce CVE exposure window — Identify vulnerable dependencies at the time they are introduced, not months later in a security audit
- Automate compliance checks — Configuration security review supports CIS benchmark compliance and cloud security frameworks
- Catch misconfigurations at source — It is far easier to correct a Terraform policy in review than to remediate a misconfigured production environment
How It Works
- Developer submits a pull request containing changes to dependency files, infrastructure configurations, or deployment manifests
- Agent reads all modified files including package manifests, cloud configuration files, and container definitions
- Dependency analysis cross-references updated packages against known CVE databases and identifies version ranges with documented vulnerabilities
- Configuration analysis evaluates access controls, permission scopes, network exposure settings, and encryption configurations
- Findings are reported on the pull request with the specific vulnerability or misconfiguration, its severity, and recommended remediation steps
Getting Started
- Sign up at app.autohive.com
- Connect the Autohive Security Review Agent from the marketplace
- Link your Git repository and configure pull request triggers
- Deploy the agent — it will automatically review dependency and configuration changes in every new pull request for known vulnerabilities and misconfigurations
