Cybersecurity for Startups and SMBs
How Startups Get Hacked: The Most Common Attack Vectors
Startups most commonly get hacked through: exposed credentials in GitHub repositories (API keys, database passwords committed to code), phishing attacks against employees without security training, misconfigured cloud services (public S3 buckets, open security groups), weak or reused passwords without MFA, vulnerable dependencies in application code, and insider access issues from poor offboarding.
Andreas Johansson · Chief Executive Officer
Senior IT management leader with 25 years of experience in Cloud, Security, and Datacenter infrastructure.
The Uncomfortable Truth
Most startup breaches aren't sophisticated. They don't involve zero-day exploits, nation-state actors, or advanced malware. They exploit basic gaps — exposed credentials, missing MFA, misconfigured cloud services — that exist because security was deprioritized during the rush to build and ship.
Understanding how startups actually get hacked helps founders prioritize the controls that matter most.
Attack Vector 1: Exposed Credentials in Code
- How it happens: Developers hardcode API keys, database passwords, cloud access keys, and tokens into source code. These secrets end up in Git history, public repositories, or CI/CD logs. Automated scanners continuously scan GitHub for exposed AWS keys — compromised accounts are used for cryptomining within minutes of exposure.
- Real-world impact: A startup commits an AWS access key to a public GitHub repo. Within 4 minutes, automated scanners detect it. Attackers spin up hundreds of EC2 instances for cryptocurrency mining and can run up a large cloud bill before anyone notices.
- Prevention:
- Never store secrets in code — use environment variables or secrets managers
- Enable GitHub secret scanning and push protection
- Use pre-commit hooks (git-secrets, truffleHog) to catch secrets before they're committed
- Rotate any credential that has ever been in a repository — Git history is permanent
Attack Vector 2: Phishing
- How it happens: Employees receive convincing emails impersonating SaaS tools (Slack, Google, GitHub), vendors, or executives. They click links leading to credential-harvesting pages or download malicious attachments. AI has made phishing dramatically more convincing.
- Real-world impact: A startup employee receives a fake Google Workspace login page via email. They enter their credentials. Without MFA, the attacker gains access to email, Drive, and any SSO-connected applications. Customer data is exfiltrated from shared documents.
- Prevention:
- Enforce MFA on all accounts (blocks credential theft even when phishing succeeds)
- Enable advanced email filtering
- Conduct basic phishing awareness training
- Configure DMARC to prevent domain spoofing
Attack Vector 3: Cloud Misconfigurations
- How it happens: Cloud infrastructure is complex. Default configurations are often insecure. Common misconfigurations include public S3 buckets, overly permissive security groups (0.0.0.0/0 on SSH), databases accessible from the internet, and IAM roles with admin access.
- Real-world impact: A startup's MongoDB database is configured without authentication and exposed to the internet. Automated bots discover it, download all customer data, delete the database, and leave a ransom note demanding Bitcoin.
- Prevention:
- Use cloud security posture management (CSPM) tools to detect misconfigurations
- Follow cloud provider security best practices and benchmarks (CIS)
- Review security groups and network ACLs regularly
- Never expose databases directly to the internet
Attack Vector 4: Weak Authentication
- How it happens: Shared admin credentials, weak passwords, password reuse across services, and lack of MFA create easy entry points. Attackers use credential stuffing (trying passwords from previous breaches) and brute force against internet-facing services.
- Real-world impact: A startup uses the same admin password for their hosting panel, database, and monitoring tool. One service is breached; the attacker tries the same credentials everywhere. Full infrastructure compromise.
- Prevention:
- MFA on every account (most important single control)
- Unique passwords for every service via password manager
- Eliminate shared credentials — individual accounts for everyone
- Disable default accounts and change default passwords
Attack Vector 5: Vulnerable Dependencies
- How it happens: Modern applications use hundreds of open-source dependencies. Vulnerabilities in these dependencies (Log4Shell, Spring4Shell) can be exploited if not patched. Supply chain attacks inject malicious code into popular packages.
- Real-world impact: A startup's Node.js application uses an outdated version of a popular library with a known remote code execution vulnerability. An attacker exploits it to gain server access, then pivots to the database.
- Prevention:
- Enable automated dependency scanning (Dependabot, Snyk)
- Update vulnerable dependencies promptly
- Pin dependency versions and verify package integrity
- Monitor for supply chain attack advisories
Attack Vector 6: Insider and Access Issues
- How it happens: Former employees retain access after leaving. Contractors have overprivileged access. Disgruntled insiders exfiltrate data. Poor offboarding procedures leave accounts active for weeks or months.
- Real-world impact: A fired employee retains access to the company's GitHub organization and AWS account. They delete production infrastructure and customer data.
- Prevention:
- Implement SSO so access is revoked centrally when someone leaves
- Review and revoke access immediately upon departure
- Apply least-privilege principles — limit access to what's needed
- Enable audit logging to detect unauthorized access
The Pattern
Every common startup breach shares the same pattern: a basic security control was missing. Not a zero-day. Not a sophisticated attack. A missing MFA, an exposed credential, or a misconfigured service. The most effective startup security program focuses on eliminating these basic gaps first.
How SeqOps fits
SeqOps gives small teams one view of the security of their AWS, Azure or Google Cloud accounts and servers, with findings ranked by severity and a plan sized to their infrastructure. Start with a 14-day free trial.