Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13442977011182E3F231B0AD4B569F36561A9E34DDA4FE418E5BC13B72BC6CE4D8736A8 |
|
CONTENT
ssdeep
|
384:hXxZ5RLFuViu2MogL2B9ogcOOvKKMgfe2n:NPfsVLQgNgwCid |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c36961c371c3c3 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
d4716961616912b1 |
|
VISUAL
wHash
|
003c7e7e7e7e3c00 |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d4a2aaa2a28c88c4,d4716961616912b1 |
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 60 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.