Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197443CF4536853F0D6474BE4F9711A46335910FEFB914A88C3A58EE0FAB29C9D439CA1 |
|
CONTENT
ssdeep
|
3072:eID1Ta7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1Dk:N07jDw/47g7/tE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0907c6d4b6b7c94 |
|
VISUAL
aHash
|
005e5e7fffc18100 |
|
VISUAL
dHash
|
aa9c9cd9d5072f2b |
|
VISUAL
wHash
|
405e5f7fffc18100 |
|
VISUAL
colorHash
|
18030000400 |
|
VISUAL
cropResistant
|
f7d797b6665f5b77,aa9c9cd9d5072f2b |
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 634 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.