Cryptographic Failures: A Complete Guide

In this article:
Subscribe to our blog:

In 2022, there were 1,802 data compromises in the U.S. alone. In 2023, that number soared to 3,205, and it will only continue to increase as bad actors become more sophisticated. As such, identifying and addressing your vulnerabilities is more critical than ever. 

One of the most common vulnerabilities is cryptographic failure. Often at the center of high-security breaches, these failures can lead to devastating consequences, including unauthorized access, data breaches, and financial losses. This is why cryptographic failures are included in the OWASP Top 10 and why secure encryption is essential for safeguarding customer trust and ensuring compliance.

What Are Cryptographic Failures?

Cryptography is a cornerstone of modern cybersecurity. It is critical for protecting confidentiality (making sure only authorized users can access it), integrity (ensuring data isn’t altered during transmission), and authenticity (confirming the identities of the parties involved in a transaction or communication) of data.

A cryptographic failure occurs when this encryption process is either not used at all, is applied incorrectly, or depends on weak algorithms or configurations that can be easily broken. This creates opportunities for data breaches, identity theft, and other forms of cyberattacks.

Real-World Consequences of Cryptographic Failures

Cryptographic failures are not abstract threats—they have real-world consequences. They have affected major organizations and the people who rely on them, resulting in devastating data breaches. Two infamous examples, the Equifax breach and the Heartland Payment Systems hack, illustrate how weak encryption and poor cryptographic practices can lead to catastrophic outcomes.

Equifax Breach (2017)

The Equifax breach is one of the most well-known data breaches in history, affecting over 143 million customers. This massive breach resulted from several security failures, including cryptographic vulnerabilities. The breach exploited an unpatched vulnerability in the company's web application, allowing attackers to access sensitive data, including Social Security numbers, dates of birth, and home addresses.

The attack exposed critical flaws in Equifax's key management practices. While encryption was applied to some data, it was insufficient due to poor key rotation practices and weak encryption protocols, allowing the attackers to bypass the encryption and gain access to unprotected data.

  • Impact on the Organization: The financial and reputational damage was immense. Equifax was fined approximately $700 million to settle federal and state investigations. Additionally, the company faced significant backlash from consumers and regulators, resulting in a loss of customer trust and long-term damage to its reputation.

  • Cost of the Failure: Beyond fines, Equifax's remediation efforts—including identity theft protection for affected customers—cost the company over $1.4 billion.

Heartland Payment Systems (2008 and 2015)

In another major breach, Heartland Payment Systems, one of the largest payment processors in the United States, suffered a significant attack in 2008. The attackers used an SQL injection to gain access to the system and planted malware to capture unencrypted credit card data. The breach compromised approximately 100 million credit card numbers.

Then, in 2015, another attack was carried out by an individual who physically broke into one of the company's offices and stole computers. These computers contained sensitive employee data, including names, Social Security numbers, and bank account details. The breach highlighted a major cryptographic failure on Heartland’s part because the stolen computers were unencrypted, making it easy for the attacker to access the sensitive data they contained.

  • Impact on the Organization: Heartland was fined and incurred losses related to lawsuits, customer compensation, and upgrades to its security infrastructure. In addition, Heartland faced significant reputational damage and was forced to undergo third-party audits and compliance checks.

  • Cost of the Failure: The breach cost the company over $140 million.

The Impact on Organizations

The financial and reputational impacts of cryptographic failures are profound. 

  1. Regulatory Fines: Under GDPR, fines can reach up to 4% of a company's global annual revenue, and non-compliance with encryption regulations often triggers hefty fines.

  2. Loss of Customer Trust: Cryptographic failures can cause irreparable damage to an organization’s relationship with its customers. 

  3. Cost of Remediation: The costs associated with mitigating the damage from a cryptographic failure extend beyond immediate financial penalties. Companies must also invest in new security infrastructure, identity protection services, and public relations efforts to repair their image.

Data shows that the global average cost of a data breach in 2024 is $4.88 million, a 10% increase from last year. In industries like healthcare and finance, the costs are significantly higher due to stringent regulatory environments and the sensitivity of the data involved.

Common Causes of Cryptographic Failures

Cryptographic failures occur when encryption and data protection mechanisms are weak or improperly implemented, exposing sensitive information to unauthorized access. Below are the common causes of such failures, with real-world examples and detailed explanations.

Weak Encryption Algorithms

Many cryptographic failures are rooted in using outdated encryption algorithms that are no longer secure. Encryption standards like MD5, SHA-1, and DES were once widely used but are now considered insecure due to advances in computing power and cryptanalysis techniques.

Improper Key Management

Even the most secure encryption algorithms are ineffective if cryptographic keys are not correctly managed. Key management involves generating, storing, distributing, and rotating cryptographic keys. Poor key management practices can result in stolen or compromised keys, rendering encryption useless because attackers can decrypt sensitive information.

  • Key Generation: Using weak random number generators for key generation can produce predictable keys, making it easier for attackers to guess or brute-force them.

  • Key Storage: Storing keys in insecure locations, such as configuration files or databases without encryption, exposes them to attackers who gain access to the system.

  • Key Rotation: Failing to rotate keys regularly can lead to prolonged exposure if a key is compromised. Key rotation is essential to limit the impact of a stolen key.

Insecure Protocols

Outdated or insecure communication protocols, such as SSLv3 or early versions of TLS, can introduce vulnerabilities that allow attackers to intercept or manipulate encrypted data in transit. Protocols like SSLv3 are vulnerable to attacks like POODLE (Padding Oracle On Downgraded Legacy Encryption), while early versions of TLS are susceptible to attacks such as BEAST.

  • POODLE Attack: Exploits a flaw in SSLv3, allowing an attacker to decrypt secure communications by taking advantage of how the protocol handles padding.

  • BEAST Attack: Targets older versions of TLS (1.0 and earlier) and can decrypt encrypted sessions by exploiting a vulnerability in how encryption was implemented.

Incorrect Implementation

Even robust cryptographic algorithms can fail if they are not implemented correctly. Common mistakes include using non-cryptographically secure random number generators, applying improper padding schemes, or failing to follow cryptographic library specifications. These errors create vulnerabilities attackers can exploit, even if the algorithm is secure.

  • Improper Padding: Padding ensures that input data is the correct size for encryption. If not handled correctly, padding can lead to padding Oracle attacks, in which attackers can decrypt encrypted data by analyzing the padding structure.

  • Random Number Generation: Using non-cryptographic random number generators (like those found in standard libraries) for cryptographic purposes can result in predictable outputs, making it easier for attackers to guess encryption keys or other sensitive data.

Lack of Encryption

Failing to encrypt sensitive data is a critical oversight, especially in industries like finance, healthcare, or e-commerce, where sensitive personal or financial data is regularly processed. Without encryption, data is exposed to anyone who can access the system, whether through unauthorized access, malware, or even physical theft.

Other Causes

Additional causes of cryptographic failures include:

  • Hardcoded Keys: Storing cryptographic keys directly in source code is a common mistake. If the code is exposed, the keys are immediately compromised.

  • Improper Use of Certificates: Using expired or self-signed certificates can lead to vulnerabilities in secure communication channels, as attackers may be able to impersonate legitimate services.

  • Poor Session Management: Failing to manage user sessions securely can lead to session hijacking attacks, where attackers steal active session tokens and gain unauthorized access.

How to Prevent Cryptographic Failures

Organizations must implement strong encryption practices, follow key management best practices, and regularly audit their systems to prevent cryptographic failures and protect sensitive data. Below are essential strategies for securing cryptographic implementations.

Use Strong and Updated Algorithms

One of the most critical steps in preventing cryptographic failures is using robust and current encryption algorithms. The algorithms mentioned above—MD5, SHA-1, and DES—are no longer secure and should be avoided. Instead, developers should adopt the latest encryption standards, such as AES (Advanced Encryption Standard), RSA, and Elliptic Curve Cryptography (ECC), which offer significantly stronger protection.

Staying current with cryptographic advancements is crucial, as older algorithms become increasingly vulnerable to attacks due to advances in computational power and cryptanalysis techniques. Developers should continuously monitor industry standards and update their encryption practices to incorporate these changes.

Follow Best Practices for Key Management

Even the strongest encryption algorithms are ineffective without proper key management. Cryptographic keys must be securely generated, stored, distributed, and rotated to prevent compromise.

  • Key Generation: Cryptographic keys should be generated using secure random number generators to ensure they are unpredictable and resistant to brute-force attacks.

  • Key Storage: Keys must be stored securely, preferably in Hardware Security Modules (HSMs), which provide tamper-resistant environments for key storage. Alternatively, services like AWS Key Management Service (KMS) or HashiCorp Vault can securely store and manage keys in cloud environments.

  • Key Rotation: Regular key rotation reduces the risk of key compromise. Expiration dates should be set for cryptographic keys to enforce routine rotation, ensuring that its exposure is limited even if a key is compromised.

Periodic audits of key usage, expiration dates, and access permissions should be performed to ensure that keys remain secure throughout their lifecycle. This process minimizes the risk of stolen or leaked keys, which can render encryption useless.

Enforce Secure Protocols

Secure communication protocols such as TLS (Transport Layer Security) 1.3 must be enforced to protect data in transit. Protocols like SSLv3 or early versions of TLS are vulnerable to well-known attacks, such as POODLE or BEAST, and should be disabled.

  • TLS 1.3 offers improved performance and enhanced security, including features like forward secrecy, which ensures that even if encryption keys are compromised, past communication cannot be decrypted.

Properly configuring these protocols is just as important as using them. Weak cipher suites should be disabled, and strong encryption algorithms, such as AES-GCM, should be used. In addition, enabling forward secrecy ensures that new keys are generated for each session, preventing attackers from decrypting historical data.

Adopt Encryption Best Practices

In addition to using strong algorithms and enforcing secure protocols, developers should follow encryption best practices, including:

  • Encrypting Data at Rest and in Transit: Sensitive data must always be encrypted, whether stored in databases, backups, or transmitted over networks. Industry standards, such as AES-256, should be used for encrypting data at rest, and TLS 1.3 should be applied for data in transit.

  • Securing Backups and Databases: Backups and databases often contain sensitive information and must be encrypted to prevent unauthorized access. This also includes ensuring that encryption keys are stored securely and not hardcoded into application code or configuration files.

Adhering to encryption best practices protects sensitive data from breaches and ensures compliance with regulatory standards such as GDPR and CCPA, which mandate encryption of personal data.

Regular Security Audits and Penetration Testing

No cryptographic strategy is complete without regular security audits and penetration testing. Automated tools such as SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) can identify cryptographic misconfigurations and vulnerabilities early in development.

In addition to automated tools, organizations should conduct periodic penetration tests to simulate real-world attacks on their cryptographic systems and identify weaknesses.

Codacy’s automated security scanning solutions can offer developers real-time feedback, enforce secure coding standards, and identify cryptographic vulnerabilities early. These tools ensure that cryptographic weaknesses are detected and addressed before being exploited.

By following these best practices, organizations can significantly reduce the risk of cryptographic failures and safeguard their sensitive data.

Prevent Cryptographic Failures with Codacy

Cryptographic failures pose significant risks, from costly data breaches to damaged reputations. Codacy provides a comprehensive solution to help prevent these failures by automating security scans, detecting cryptographic weaknesses, and enforcing secure coding standards.

With Codacy's secret detection and code analysis tools, you can quickly identify vulnerabilities like weak encryption or improper key management early in development. Codacy ensures your code adheres to cryptographic best practices, giving developers real-time feedback to resolve issues before they escalate.

Protect your systems from cryptographic failures. Start a free trial or book a demo to see how Codacy can enhance your security. Learn more at  Codacy Security.

RELATED
BLOG POSTS

Key Management: A Complete Guide
Imagine managing physical keys and passcodes for various physical locks. You have a key for the front door, another for your office, a few spares, and...
Secrets Management: A Complete Guide 
IBM's Cost of a Data Breach 2023 report found that the most common cause of a data breach in 2022 was sensitive, private credentials that were either...
We Analyzed AI-Generated Code: Here's What You Should Know
Artificial intelligence (AI) coding tools offer a huge productivity boost to developers. The ability to write the logic you need in natural language...

Automate code
reviews on your commits and pull request

Group 13