Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E925A24A60041F312F7D5C4E7607F1DB69AF31BC92E89082AAD95A51FC3DF5FA325A0 |
|
CONTENT
ssdeep
|
384:eP5yP0TV4F4TK4FqcT34FdTI4FZTK4F+Ts4FdT44FOXVPDMdj4KbRIjmRr/24u/C:eqoqBJrU5+MXwC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
870f0f0e2cbcb8f8 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
6568095555ae8454 |
|
VISUAL
wHash
|
0000b4ffcf007eff |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
a482a02a0a898bca,61c8005515acc454,f5f46d6c6b41c8c8 |
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 22 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.