Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE4174305020A0BB921B3DD56AB19F1931F6AA4CCE23CA0027FC1BD64BF2E94CD1B597 |
|
CONTENT
ssdeep
|
48:8zYSDlv/6STlrAcswkl1zcVgxTpB3j5xdiE8GQo:5SDlH6ol4Pl1zcVgxTL3j5xd8GQo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b193ce4c336ccc93 |
|
VISUAL
aHash
|
ffefc7c3c7c3efff |
|
VISUAL
dHash
|
001a9e9e9e961600 |
|
VISUAL
wHash
|
fcc4c0c0c0c0c4fc |
|
VISUAL
colorHash
|
07602008000 |
|
VISUAL
cropResistant
|
001a9e9e9e961600,6a7aaa923824a822 |
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 32 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.