Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C43BB1A0102C7B01DB83D4F7B46707B3F4E349E60A41919BE8DF982FD6E60EA1A55D |
|
CONTENT
ssdeep
|
6144:CAgFdMeoDufyMJ/b4uycr+gtS7KePwZ3z21cpdXyZydaVG/4DjTo71RM0b0e7HC5:7E9ePwd21cvXyZyIVG/4qiGI1pEK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6434971493e1c3f |
|
VISUAL
aHash
|
00ff87878787879f |
|
VISUAL
dHash
|
70cc2d2d3c2c3c3e |
|
VISUAL
wHash
|
00ef87878787878f |
|
VISUAL
colorHash
|
12000030000 |
|
VISUAL
cropResistant
|
4000001030324d4d,3b0b0e333921a61a,48480084aae86460,0c2d2c0c3c2c3c3e,97b6223a5a4a4849,9bdb8aa46462d222 |
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 749 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.