Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10553FF30D191962B468382C0EBF3D75A11B88244DF5309F993E8871BAFCEE9CDE4B655 |
|
CONTENT
ssdeep
|
1536:OeeeIeeeSeeeQeeefeeefeeefeeeDQfuIa2:b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c53c1ca5c5a556 |
|
VISUAL
aHash
|
c381e7e1e1818183 |
|
VISUAL
dHash
|
363b4ddb5d1b1b1b |
|
VISUAL
wHash
|
c383e7e3e78181c3 |
|
VISUAL
colorHash
|
3a000019200 |
|
VISUAL
cropResistant
|
363b4ddb5d1b1b1b |
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 271 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.