Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127927A30E18254B606B39BC0E9A07F1DB1D6F30BD42AC5416AFE95960FE3DF4B8159B1 |
|
CONTENT
ssdeep
|
192:6bpRbsXcp3I5OeI3g/A50+I00ZFtnY9mlp7oGCyiMaVGDLAi0gA8dMq6Ri8:Wrkp1+IrZFtnY9mlp7oGCyFdMq6Ri8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a666cc9933cc9993 |
|
VISUAL
aHash
|
e7e7e7e7e7efffff |
|
VISUAL
dHash
|
4d4d4d4d4d0c0c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
4d4d4d4d4d0c0c0c,8c36b2687878eaf8,8999b4a43eeb63a5,b9de2460d0f270f0 |
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 24 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.