Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12192B6724447786F0223D5CAF8022A0DA4C741BDDF93678197AD0AFE36F5D74EA1E60A |
|
CONTENT
ssdeep
|
384:smqoZpAMxtmBr7WvZ+Y5kxcJZECsjbkdudSdIN:jAatmcwY+cJaVjNdS4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
987562158c7f239d |
|
VISUAL
aHash
|
03c0461c1f0200c1 |
|
VISUAL
dHash
|
02988cb2b244a289 |
|
VISUAL
wHash
|
c3c0ef1e1f006af9 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
858d304d4d04a904,02988cb2b244a289 |
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 1037 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.