Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A86341B1C695217B02278ED4B4712B4F72E3C31DDE67891157FC878E6FEAC90EA05889 |
|
CONTENT
ssdeep
|
1536:GfcAB9ObtoKIgAHJUBpNxZaGntpoyxiW8ACC:GfDg2uh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa295685c5caad52 |
|
VISUAL
aHash
|
ff8783cfffbffcfc |
|
VISUAL
dHash
|
243f2b3b463a3818 |
|
VISUAL
wHash
|
ff818181f78e9c8c |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
243f2b3b463a3818,5ac8ab2b2c8ec851,ccf495e8e922330f,4d0589a8b6a50105 |
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.