Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9831AB83919F5275AB343A710EF15037378121B980E4C607254FD9EA6F8C9AB06BFD9 |
|
CONTENT
ssdeep
|
1536:nL01JH5PHE70qrsArX9WERiAQ3O4Ab3exTCBq/Gz9:nLax9qpIERQk3GCBh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13c63f02535713f |
|
VISUAL
aHash
|
623c183c3c7c7878 |
|
VISUAL
dHash
|
c6d0f0d0d4d0d0c0 |
|
VISUAL
wHash
|
627c1c3c3c7c7878 |
|
VISUAL
colorHash
|
38001030000 |
|
VISUAL
cropResistant
|
c6d0f0d0d4d0d0c0 |
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 227 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.