Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB934CA43A59F96629F3439310DF2103B278562F580D4C20A355ECAE72BDC9B6077FDA |
|
CONTENT
ssdeep
|
1536:bVntXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKmu+HebL8o:RtX8VMAIGvnAKSHeD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3580eea3b31cccc |
|
VISUAL
aHash
|
fcfcfeceeff77f3f |
|
VISUAL
dHash
|
0925545a58acc840 |
|
VISUAL
wHash
|
f8f8e4ecfc403010 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0925545a58acc840 |
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 287 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.