Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15702DE213014896B57272F80FEE1ED58BDD3FB4E8506D4A0E1EE52ED4EE2EE95860427 |
|
CONTENT
ssdeep
|
96:Sdoz1susyR3jPXlU0os9O6i+6XJq+OzM/xsVr/eyx2NvZ:Io3mog2UHzZIMh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc28656161dd887d |
|
VISUAL
aHash
|
c3c3d3c3c3c3f3ff |
|
VISUAL
dHash
|
0a2e362f0e161606 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0a2e362f0e161606 |
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 320 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.