Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0535130A440E82740DB96C89532676A63F68349CA130689FFF8C7FA5BCFC68D937655 |
|
CONTENT
ssdeep
|
1536:FSFsmdsIxyrJfzAd0Dsd+J+jNTHudrKIL7/S2IYrzKd7x:bC+dsS4AqlHaKIL7/S2IYnKd7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b18bc1d84167e67 |
|
VISUAL
aHash
|
1fff0000000004ff |
|
VISUAL
dHash
|
b4b349c15231482b |
|
VISUAL
wHash
|
1fff00302000ffff |
|
VISUAL
colorHash
|
0e000008180 |
|
VISUAL
cropResistant
|
c434b2f3b4b00e16,880022002b2b0b2b,54c434b3f3f3b4b4,5159c17052333948 |
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 58 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.