Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA633024B10145FF56E7C9E0E0617F2972EAF34ECB6BC954A7AD10A52FCECB07A114A1 |
|
CONTENT
ssdeep
|
768:xabcTb9byTbVb5bYbIFMyPBGhY7KVRrkF/L/c/Ce/x/U/pJk/Ht/99rm8RinQpWq:KcTxGT5Ns0hPBEYmn8HnQ5xm4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
842a3b3acbeaaa3a |
|
VISUAL
aHash
|
0102067636160662 |
|
VISUAL
dHash
|
131c94c4e4e40cc2 |
|
VISUAL
wHash
|
c106067e7e3e067e |
|
VISUAL
colorHash
|
38042001000 |
|
VISUAL
cropResistant
|
131c94c4e4e40cc2 |
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 57 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)