Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4136104311117FBE1B7C7D9F960BE7E486AB32AC507955CA2AE50222EE7CB8F907534 |
|
CONTENT
ssdeep
|
768:kPIpC+fj9b1lZpLPmcZ8N9e3a8ZFbKPNKOPndrWON:8IpCmP5LPmcZ8N9e7ZFbKPEON |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cce9262263b2bb |
|
VISUAL
aHash
|
391818183c3c0808 |
|
VISUAL
dHash
|
73b2b2f0785ddad8 |
|
VISUAL
wHash
|
ff7e3c183c3c180c |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
73b2b2f0785ddad8 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 84 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.