Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FE228B49230D335B1824BE8DA6424687A5FE1DDD7C694B4F388AF51B0D6CECD9260CB |
|
CONTENT
ssdeep
|
384:Y7fUWegulFEFcRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AskiRWyMd:Y7fUWegu/phhPhleMeDGCSPxeeWmHPW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0f8bc8e29a90f69 |
|
VISUAL
aHash
|
c3e6e0e060347600 |
|
VISUAL
dHash
|
278c89818164a436 |
|
VISUAL
wHash
|
c3e7e1e070357f10 |
|
VISUAL
colorHash
|
18000010040 |
|
VISUAL
cropResistant
|
c068ee7262e0f171,f8fcb8386d55f667,a5120aaebcfcfcfc,1008303232080000,278c89818164a436 |
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 214 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.