Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA02AB958187E637225286D4A7372F2F31D0430CDAB74B59A3FC87E94AE5C46ED3B406 |
|
CONTENT
ssdeep
|
192:UgM/Tag2PdTxsXx4PeoNUxmoNUxtHV1rY:9M/Wgu1SXx4vqgHV1rY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b247d8dd54ce2c86 |
|
VISUAL
aHash
|
ffc30100e7ffffc7 |
|
VISUAL
dHash
|
d00f4d0e0e140c9e |
|
VISUAL
wHash
|
fe01010082ffffc7 |
|
VISUAL
colorHash
|
061c0000000 |
|
VISUAL
cropResistant
|
d00f4d0e0e140c9e |
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 496 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.