Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FD26031A544603723239BC972E1EF8DE1D2964ECF03D860F1FA67894796EE2C912D67 |
|
CONTENT
ssdeep
|
768:WtV7lD04LoFbph48T9XHDEgYbioAcP7ESK8Dph:UV7lD04LoFbpy8T9XHDEgYbiorPzh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd3b22c6081933f7 |
|
VISUAL
aHash
|
00f8cc00fefffe00 |
|
VISUAL
dHash
|
6900181000000005 |
|
VISUAL
wHash
|
00f8cc00fffffe00 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
6900181000000005 |
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 71 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.