Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3421BB9B22416E1CE0343CAFE6232FAF14391BEDA52198CD365825472D5CFDC954DC5 |
|
CONTENT
ssdeep
|
192:QoRoBO5tvuKF3lMkK3UY6LNku9cuGRmKbMpBXp7sfgg8gk:QkokN3CkKkY6LSsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eded92922d68d468 |
|
VISUAL
aHash
|
fffdf19191ff818e |
|
VISUAL
dHash
|
4d4973333339190e |
|
VISUAL
wHash
|
fff9b181818d818e |
|
VISUAL
colorHash
|
07018000400 |
|
VISUAL
cropResistant
|
4d4973333339190e,6e6c5c5e5dd70713,4541418040c08080 |
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.