In digital information theft and illegal transactions, attackers may adopt a variety of technical strategies. These strategies usually combine technical means with social engineering to bypass security and evade detection. The following are the common technical strategy categories and descriptions： --- ###**1. Network attacks and intrusions** 1. **Phishing attack (Phishing)** -**Camouflage and deception**: Falsify emails, websites or text messages of legitimate institutions to induce users to disclose their credentials or download malicious attachments. -Spear Fishing**: Customize attacks for specific targets (such as corporate executives) to increase the success rate. 2. **Malicious software (Malware)** -**Trojan horse program**: Pretending to be normal software to steal data (such as keyloggers, screenshots). -**Ransom Software (Ransom)**: Extort a ransom after encrypting data, or threaten to disclose information. -**Spyware (Spyware)**: Lurking for a long time to collect sensitive information. 3. **Exploit** -**Zero-Day Exploits (Zero-Day Exploits)**: Use undisclosed software vulnerabilities to quickly invade the system. -**Supply chain attack**: Spread malicious code by infecting legitimate software update channels. 4. **Brute force cracking and password attacks** -Use automated tools (such as Hashcat) to crack weak passwords or hashes. --- ###**2. Data theft technology** 1. **Man-in-the-middle attack (MITM)** -Intercept unencrypted network communications (such as public Wi-Fi) and steal login credentials or session tokens. 2. **Database attack** -**SQL injection**: Extract database content by injecting malicious code. -**Library attack**: Use the leaked account password to try to log in to other platforms. 3. **API abuse** -Use unprotected API interface to crawl data in batches. 4. **Theft of physical equipment** -Implant malicious programs through USB devices (such as Bad USB), or steal unencrypted hardware data. --- ###**3. Identity forgery and abuse** 1. **Credential Stuffing (Credential Stuffing)** -Use the leaked account password to try to log in to other platforms. 2. **SIM card hijacking** -Obtain an SMS verification code by deceiving the operator to transfer the mobile phone number. 3. **Falsifying digital identities** - Use stolen personal information (such as ID number) to register a fake account or bypass verification. --- ###**4. Data resale and money laundering** 1. **Dark Web transactions** -Sell data anonymously on dark Web markets (such as AlphaBay) through the Tor network. -Use private coins (such as Monero, Zcash) or coin mixers (CoinJoin) to hide the flow of funds. 2. **Hierarchical resale of data** -After splitting the data, it changes hands through multiple intermediaries to increase the difficulty of tracking. 3. **False demand fraud** -Falsifying high-value data (such as financial intelligence) to deceive buyers. --- ###**Five, Social engineering** 1. **Impersonation attack** -Pretend to be an IT department, customer or partner to defraud sensitive information. 2. **Pretexting (scenario fiction)** -Fabricate emergency scenarios (such as "system upgrade requires verification of identity”) to induce the target to cooperate. 3. **Insider buying** -Bribe corporate employees or contractors to steal data directly. --- ###**6. Anti-tracking technology** 1. **Anonymous tool** -Use VPN, proxy chain, or Tor to hide IP addresses. -Virtual machines or disposable operating systems (such as Tails) avoid leaving traces. 2. **Data confusion** -Encrypt or transmit data in segments to avoid detection. 3. **Botnet (Botnet)** -Use the controlled device to launch an attack to conceal the true source. --- ###**Risk warning** It should be clearly emphasized that the above-mentioned acts are all **serious violations and crimes** and may face legal sanctions (such as the crime of illegally obtaining data from computer information systems in the Criminal Law). It is recommended that individuals and enterprises take multiple protective measures (such as enabling MFA, regularly updating patches, and employee safety awareness training) to reduce risks.