Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144E229B4A230E335B1C247E8DA6429687A5FE1DCD7C695B0E388AF51B0D6CE8D9150CF |
|
CONTENT
ssdeep
|
768:Y7kUteguVCN9enHhhPhleMeDGCSPxeeWmHXW:6GpxFWeW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3073cf2781c786b |
|
VISUAL
aHash
|
0066203860e67610 |
|
VISUAL
dHash
|
4c4c4ac14bc8acb1 |
|
VISUAL
wHash
|
80263e38e8fe7f50 |
|
VISUAL
colorHash
|
30000600018 |
|
VISUAL
cropResistant
|
f057debbb2d4e972,4c4c4ac14bc8acb1 |
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 74 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.
Pages with identical visual appearance (based on perceptual hash)