Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137428674934D450D723B6781B9D2EB4F2F63930AC209563892EE3CF962CDDE5AC76086 |
|
CONTENT
ssdeep
|
96:MuHSJSEPJPu7FyOW3rRqqaM20dr+zXWBf3xMSEkxIZkOVxK55ekPhDldQtkpEjkP:KsrW3lqdMsTFZ2s8ldQtfyI4b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3632894974ae575 |
|
VISUAL
aHash
|
e0e0e0f8feffc0ff |
|
VISUAL
dHash
|
808180c9f8ca0141 |
|
VISUAL
wHash
|
c0c0c0e0feff00ff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
808180c9f8ca0141,42920c4466677133,000000c0c0000000 |
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 31 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.