Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E91253C744006ABD637D582FC93BD545885F34EE3998A6CB7770194CBE2D98D48C870 |
|
CONTENT
ssdeep
|
48:Txhg1Pc4Mesj3yy0ryJFVEwnGFEQJ71bhRr6NqMu2Y2m1saBooT0AahE:T4sLy9EFV+Ff71bbKY2ma+zTEhE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98664162665b6f76 |
|
VISUAL
aHash
|
001f1f1f0f1f1f1f |
|
VISUAL
dHash
|
be347e363fbe3838 |
|
VISUAL
wHash
|
001f0f0f0f1f1f1f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
b67e7e3e3fbe3838,00c020202030c098,8c4d16b6336965e5 |
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 22 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.