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As an industry veteran with over 15 years of experience in cybersecurity across technology and financial services companies, I have seen organizations make preventable yet costly errors around security – especially when developing software.
In this guide specially created for you, I share the four biggest cybersecurity mistakes teams make during software testing phases and recommend fixes to help your organization build more secured, resilient software applications.
What Qualifies as Cyber Security Mistakes in Software Testing?
Before jumping into the specific mistakes, it‘s important to level-set on what constitutes cybersecurity errors in the context of software testing.
Cybersecurity mistakes refer to gaps and vulnerabilities introduced or left undetected during software testing cycles that attackers can exploit to steal data, ransomware etc. These may include:
- Failure to test new features for security risks
- Not identifying vulnerabilities inherited from third-party libraries/components
- Neglecting to perform penetration testing before launch
- Limited evaluation of encryption mechanisms
- Not assessing post-deployment risks through reguarl audits
Such errors allow cybercriminals access to sensitive information like financial records, medical data, credentials etc. or enable denial of service through ransomware or DDoS attacks – all breaching user privacy or trust.
As per research, over 80% of security issues originate in the application layer rather than infrastructure or people. So securing software itself becomes critical and avoiding mistakes in testing processes is key.
Top 4 Software Testing Cybersecurity Mistakes
Having understood where security intersects with software testing, let us examine the four most widespread errors:
| Mistake | Business Impact |
|---|---|
| No penetration testing | Data breaches, ransomware attacks |
| Limited third party component testing | Inherited vulnerabilities open backdoors |
| Leaving test credentials/data post deployment | Raises data privacy and compliance risks |
| Not testing encryption mechanisms | Sensitive data exposure if weak ciphers used |
Next, we will explore each mistake along with real-world instances of related failures and recommendations to overcome them.
Mistake #1: No Penetration Testing
Failing to conduct penetration testing i.e. simulated attacks against an application under development is the most critical oversight according to industry experts.
Think of penetration testing as stress testing the security defenses of your software by deliberately attacking it – much like what real hackers would do. The goal is to discover vulnerabilities like SQL injection flaws or authorization bypass issues before launching.
Neglecting this exercise leaves software exposed to serious post-deployment threats as attackers uncover weaknesses that developers missed.
Business Impact
Consider the 2017 case of OnePlus accidentally leaving an engineer backdoor open in its phones granting root privileges. White hat hackers revealed it would enable hijacking user data, installing malware and more on its $400 phones!
Though they responsibly disclosed it before major damage, imagine if criminals discovered this vulnerability first? Entire OnePlus user identities and phones could‘ve been compromised irreversibly. Other instances like the Citibank breach where hackers penetrated via an unnamed third-party app to access 100 million customer records also highlight why penetration testing done right is essential.
Fix Recommendation
Set aside budgets exclusively for penetration testing initiatives spanning application source code, deployed instances, supporting infrastructure like databases and more. Employ ethical hackers to find weaknesses in design and configurations. Encourage finding flaws responsibly through bug bounties. Allocate time to fix issues before publicly launching software.
Mistake #2: Limited Third-Party Component Testing
Modern applications heavily integrate third-party libraries and services like React, Bootstrap on frontend and Twilio, Stripe on backend, alongside using cloud platform services like AWS or Azure.
But limited testing of these components leaves them vulnerable to inherited risks. Open source libraries often have vulnerabilities like the Log4J exposure in late 2021 and commercial cloud services have also been implicated in data leaks. So testing third-party code security becomes necessary too.
Business Impact
Look at how the 2014 JPMorgan bank hack began by attackers first infiltrating an overlooked server of one of its third-party data partners to gain entry into core Chase systems leading up to 83 million user record access becoming one of history‘s biggest bank breaches.
Fix Recommendation
Maintain a frequently updated inventory of all third party components used – open source libraries, APIs and cloud services. Only use reputed and tested providers. Aggressively patch inherited risks when discoveries occur. Conduct audits checking for vulnerabilities, insecure data flows and configurations spanning integrated components alongside penetration testing primary code. Follow principle of least privilege access for such integrations.
Mistake #3: Leftover Test Assets Post Launch
A key tenet of secured software is only exposing components necessary for functioning while restricting everything else. But software teams often neglect removing test credentials, admin interfaces, sample configs and unnecessary data post launch.
Attackers exploit such oversights to find their way in via test artifacts that have permissions beyond what is needed in production. Backdoors also allow unauthorized lateral movement across connected systems.
Business Impact
Unwanted assets left behind famously led to the 2017 Equifax breach with hackers easily discovering forgotten admin credentials in a public developer portal to enter core databases leading up to 143 million user records being stolen. Such blunders erode consumer trust in handing their data to providers.
Fix Recommendation
No matter how much testing occurs pre-launch, set reminders and verify checklists to scrub unnecessary credentials/logins, sample data, alternate access mechanisms like admin sites, debug code snippets that overly reveal system details etc. before publicly deploying software and opening access to users. Periodically probe running software for undocumented assets to avoid surprise discoveries being abused by hackers. And integrate security checks into CI/CD pipelines before deployment.
Mistake #4: Not Testing Encryption Mechanisms
Whether data is standing idle within databases or moving across networks, encryption is mandatory to prevent exposure. But teams often enable encryption without rigorously testing ciphers used and their implementations – leaving gaps.
Attackers may be able to brute force weak encryption schemes or exploit flaws around key generation/handling/storage or improper initialization vectors. Modern encryption also requires keeping up with standards to match advancing hacker weaponry.
Business Impact
The infamous Target breach of 2013, where 70 million customer records including credit cards got stolen, resulted partially due to failure to upgrade from weak 1990s era encryption. It reminds why regularly testing and improving data encryption strength aligned to current best practices is crucial even post launch.
Fix Recommendation
Define policies requiring encryption of sensitive and personal data meeting modern standards like AES-256, RSA-3072 throughout systems – when data is stored, accessed and transferred across networks. Rigorously pen test encryption implementations and upgrade algorithms/key lengths as technology and threat landscape evolves. Scrutinize encryption regulated data flows with regulators when mandated. And mask/tokenize data visible unnecessary to apps through methods like data-centric security.
In Closing
Software is indeed a living system prone to emerging threats even after you release them. However staying vigilant to periodically test for and quickly patch risks like the above ensures you uphold customer data privacy/security standards while thwarting cyber criminals. I hope the lessons and recommendations to avoid these mistakes helps to highlight often overlooked aspects of securing internally developed software we all need to collectively raise awareness on. Please feel free to reach out for any other questions!