Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176443CF4936853F0D6474BE4E9711A46335910FFBB914A88C3A58EE0FAB2DC9D439CA1 |
|
CONTENT
ssdeep
|
3072:erDbTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1D8:Yq7jDw/47g7/tc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a6534cb8a3ccf64 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
a8c4e86969697904 |
|
VISUAL
wHash
|
007e7e7f7fbc0400 |
|
VISUAL
colorHash
|
3a000000e00 |
|
VISUAL
cropResistant
|
8d8dc0c080808080,a8c4e86969697904 |
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 631 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.