Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197832AB43509F5270AB343A720EE15037365521F980E4C60B264FE9EA7F9C9AA077FD9 |
|
CONTENT
ssdeep
|
768:6x8Y5t7e5esurCuQanUPHz+7yidP5mK+4x4eIP32yEZMLwypGCCdaMK6kyLw15lM:MEaUOLx4TESLwsGSMBDLw1j90+1Lmjzl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee4a1970684b9b1f |
|
VISUAL
aHash
|
00e7bde1d7e7a383 |
|
VISUAL
dHash
|
a98c7945248c2a2a |
|
VISUAL
wHash
|
10e7ade5c7e68381 |
|
VISUAL
colorHash
|
07208008400 |
|
VISUAL
cropResistant
|
a98c7945248c2a2a |
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 270 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.