Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DF28520B3B01737127B83E6B1A5D7A890E4636DEA078412D3FD935F06EDD81BB97486 |
|
CONTENT
ssdeep
|
768:whX4kGuwAjx0kedN7taDiqeceweKwoeAeJeieceweKwoeAeJeeDGu9uCuEEQu6I0:iyPkeZauqeceweKwoeAeJeieceweKwoa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc6236432cdcccf |
|
VISUAL
aHash
|
187e7e7e7e180800 |
|
VISUAL
dHash
|
f0e8f0a0e0f03028 |
|
VISUAL
wHash
|
187e7eff7e181800 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
f0e8f0a0e0f03028 |
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 216 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.