Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179623C75A12412B18A4383E7FE3112EAB107517DAE639BECC7688308B3D9DFDC9618C5 |
|
CONTENT
ssdeep
|
192:QoPoBt500lkpOUGgvEYxmIku9cuGRmKbMpBXp7sfgg8gk:QYouJp9GMRmTsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea8595c2c5f2953a |
|
VISUAL
aHash
|
ff810081808080ff |
|
VISUAL
dHash
|
4b4b4d494949195d |
|
VISUAL
wHash
|
ff8181e181a1c1ff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
4b4b4d494949195d,20166979792c0000,4b3d4949ed89995d |
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 487 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.