Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111831E257058603E41BBC6C4E6B57F2A31E7F39BE58E41849BBC02A80FC7DA8F506974 |
|
CONTENT
ssdeep
|
1536:uWN/14z2n00h0S6SvKy+BicRnT9UoJJXFWpPMmXphfHADVPLreJcL6U3mTgwPgK0:uC00kB+PMKpdgDRreqV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c089cf3d9d1fd068 |
|
VISUAL
aHash
|
19607e0e42ff017c |
|
VISUAL
dHash
|
33ce88fe969233c4 |
|
VISUAL
wHash
|
19607e5e62ff016c |
|
VISUAL
colorHash
|
39006200040 |
|
VISUAL
cropResistant
|
33ce88fe969233c4 |
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 212 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.