Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181D3B62163102D7EA2174F58F341737A60AF639DE51F9008F23E2276A7EBCD4AE27954 |
|
CONTENT
ssdeep
|
768:LG1tI0uXV48bPYKQtWrKyAKNpfXHxF551rBR/J37rzPFzr1EzTJAau0Qm5t/qcsV:3VpgzUzpp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d5a275a8d23d9a9 |
|
VISUAL
aHash
|
00001c3c183c0303 |
|
VISUAL
dHash
|
63b2b2b2b2306f16 |
|
VISUAL
wHash
|
00ff3c3c3c3c2713 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
63b2b2b2b2306f16 |
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 226 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.