Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B63D876A254397791134BC2B52A936A31E7415EEE13492193FC4FA9E7E2CE4DC3E880 |
|
CONTENT
ssdeep
|
768:AEf7eDx5VRYDVm6lvzmaxVcq9r0eeiJRZCSLL2PweHrvzmaxxXjN7:hmaxD9r0eeiJRZJ2DXmaxBR7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cd962c36acb9869 |
|
VISUAL
aHash
|
f99f9f9b9b9b8181 |
|
VISUAL
dHash
|
6b3432323232032f |
|
VISUAL
wHash
|
f98f9f9b99990101 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
6b3432323232032f,826aa2c2b0f04241,8203014d55550303,66662995554ea404,8b4856a595913432,91992d6c1c752534,4a4b63271753a505,45554d71714d4541,2343414555614b23,41417125a67656a6 |
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 6929 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.