
Cryptography attacks can be roughly divided into:
Understanding this classification helps in assessing threat models and designing protection strategies.
These models mainly rely on the attacker’s varying levels of mastery over the ciphertext, plaintext, or the internal state of the encryption system:
The attacker only has the ciphertext, with no plaintext or other information. The difficulty of decryption is the highest, but it may still succeed when the algorithm is weak.
Attackers who grasp part of the plaintext and the corresponding ciphertext pair use this to analyze the characteristics of the algorithm, which is a common analysis method in reality.
An attacker can choose plaintext to obtain its encryption result, which is a strong attack model, particularly important in public key Cryptography systems.
An attacker can submit arbitrary ciphertext and obtain plaintext, which is a stronger attack model, for example, using Oracle information to gradually decipher.
As research in Cryptography deepens, some more complex forms of attacks have also been proposed and practiced:
Using the ability to analyze error feedback to gradually recover plaintext data is a very practical attack method.
This space-time trade-off attack can significantly accelerate the cracking process, especially evident in multiple encryption scenarios.
Analyze attacks based on retained correlations for algorithm design vulnerabilities in certain types of internal structures.
Cryptography is not only theoretical but is also closely related to real-world security. Some past real-world attack incidents and exploits have demonstrated the power of attack techniques and their challenges to security:
For different attack models, the following comprehensive protection measures can be taken:
Cryptography attack types encompass a wide range from basic statistical analysis to advanced chosen attacks. Understanding each type and the principles behind them helps to better protect system security and promote the healthy application of cryptographic technologies.











