Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C02163104240396F2333B2DD5AC267E6D593961CD2DB090492F464F813D4E49CC6AAB2 |
|
CONTENT
ssdeep
|
24:hRxj6p9CVN7VsWgXuBo+IWM2C0vXg2xZKbAeZSW5g:TxI2oio+RC0PZvKbAKg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8439655b52f3dc62 |
|
VISUAL
aHash
|
00031f3e3c3e763c |
|
VISUAL
dHash
|
3736b6f4f0f0cce0 |
|
VISUAL
wHash
|
00031f3e3c3e7e7c |
|
VISUAL
colorHash
|
32201240040 |
|
VISUAL
cropResistant
|
99249ca4e5c43299,3736b6f4f0f0cce0 |
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 89 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.