Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F843BE053A02AFB519787E4B620B357F28B55BEEA33E989E3DC87456BC7C18CD00590 |
|
CONTENT
ssdeep
|
3072:7YJeRZtXZeiHPCuuUZRs+5wL4ZujVgub5tIZwr7LfqLLaZtmZeiHPCuu1ZRs+5wu:7YJ+UAlFFJJFNVzPfVpZpsnz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ed664e6b0cc8d34 |
|
VISUAL
aHash
|
7e003c1c073f1819 |
|
VISUAL
dHash
|
f42c70314dd1f033 |
|
VISUAL
wHash
|
ff003c1c0f7f181d |
|
VISUAL
colorHash
|
38201030000 |
|
VISUAL
cropResistant
|
f42c70314dd1f033 |
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 19 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.