Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116B408B03280327C1D0343D4B6A5B3B9A2AEF5ECD7A64009F37D00A56686DE7EDB59D1 |
|
CONTENT
ssdeep
|
3072:/EenQ6nQNoQNKUNK2oQNKUNK2oQNKUNK2oQNKUNK2oQNKUNKV:p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cb66669c9689c96 |
|
VISUAL
aHash
|
00003c1818180000 |
|
VISUAL
dHash
|
336c70b2b2b24c60 |
|
VISUAL
wHash
|
813e3e3c3c3c3c3c |
|
VISUAL
colorHash
|
380020000c0 |
|
VISUAL
cropResistant
|
921a587274585cb4,336c70b2b2b24c60 |
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 31496 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.