Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFF33A5E932156ADF3828E4CE130732563FA6059FD348288E72E53B2768EED1743ED91 |
|
CONTENT
ssdeep
|
1536:43f9oQhnE/N1tJam8TMVQ4Vmq0EYVQ4VmbLdFHq0EdLdFHyf6bUoHf0ESf6bUoHu:4qOmaidlN7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8172adc07a7c6a73 |
|
VISUAL
aHash
|
507f00007c7f7f03 |
|
VISUAL
dHash
|
93d486c2c8f2f24e |
|
VISUAL
wHash
|
707f00007e7f7f03 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
93d486c2c8f2f24e |
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 24 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.