Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA6341B1C695217B02278ED4B4712B4F72E3C31DDE67891157FC878E6FEAC90EA05889 |
|
CONTENT
ssdeep
|
1536:GfcAD9ObtoKIgAHJUBpNxZaGntpoyxiWJACC:GfNg2uO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2a56c5c5c22dd2 |
|
VISUAL
aHash
|
ff8781cbffbffcc0 |
|
VISUAL
dHash
|
243f2b3b463a3818 |
|
VISUAL
wHash
|
ff818181ffae9c80 |
|
VISUAL
colorHash
|
06000038001 |
|
VISUAL
cropResistant
|
243f2b3b463a3818,5ac8ab2b2c8ec851,ccf495e8e922330f,1124a2b2b2320400,0909494949496969 |
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 38 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.