Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1371387702251292F532742EDB1E1F379B09BD248CA53D269B3EC127717CECA6AC752E4 |
|
CONTENT
ssdeep
|
768:kAi2K2M252AJT8Kovp9Kpm03elFd7vqyyhI2S7FGenb/GgNRikf4aB62Xx2XH2Xv:kF7vqLyC8xMwYZK++DBsUAA5SZLxLif9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa5754abaa5429ab |
|
VISUAL
aHash
|
c70700040303f6d0 |
|
VISUAL
dHash
|
0c0c020c0b0b0ca2 |
|
VISUAL
wHash
|
ef8703070303fef2 |
|
VISUAL
colorHash
|
38000078000 |
|
VISUAL
cropResistant
|
0c0c020c0b0b0ca2 |
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 4 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.