Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC52857121102A3F36174AA8F1A9F729D096838DC55BC47EB27C52F26BC7CA4C9BE350 |
|
CONTENT
ssdeep
|
384:lDKXDMYKGjKlWtstwYz5yM5Rt0zroCxVm8ONOBOg:lDKXD2lttvz5yMrt046VmN4Mg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7339999cd98cc26 |
|
VISUAL
aHash
|
e7e7e7e7e7ffdff3 |
|
VISUAL
dHash
|
0d4d4d0c4d0e1a16 |
|
VISUAL
wHash
|
81e7e7e7e7a38100 |
|
VISUAL
colorHash
|
070000c0002 |
|
VISUAL
cropResistant
|
0d4d4d0c4d0e1a16,1d2d6d4dcf4f7172 |
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 79 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.