Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A52396B96140EB3B2353C3E0A373561A2B96A582BF035FD9E7F4C3955D86CCADC66084 |
|
CONTENT
ssdeep
|
768:+hh0YLYSYrYeYX9ws3AVD249wIqNhpQPzRWPItopjxhHfA+VcNLqc6SBK4:+NE24BV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87b8ce603c6b3a78 |
|
VISUAL
aHash
|
20ff080002307834 |
|
VISUAL
dHash
|
41d25940d4d4c065 |
|
VISUAL
wHash
|
21ff88201a3e7c3f |
|
VISUAL
colorHash
|
1a0000001c0 |
|
VISUAL
cropResistant
|
5c56963a5a3aaea5,41d25940d4d4c065 |
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 490 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.