Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1982529EC77A422E8D849C7E9EB726474761B64FFAF81CB58C29C8FA4A51149CCC45CC2 |
|
CONTENT
ssdeep
|
3072:HnOOZ1+ZEuONOVROBQKOvX9Z1k329OBQKOhaYHm3r0GKgbdd5fsgqmLKPecegO5b:HnOu3BOkhBmm70GKerZLr+0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f23c39633a18c7 |
|
VISUAL
aHash
|
00767c6c60183c30 |
|
VISUAL
dHash
|
0bc4cdc8c839e0e4 |
|
VISUAL
wHash
|
80767c6c6c3c3c7c |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
a690ad9696168a82,0bc4cdc8c839e0e4 |
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 143914 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.