Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAC34CB07618B57655B303E320AB5326B279521ED80F8C10B3D8E8AD77DDC89D067F9A |
|
CONTENT
ssdeep
|
1536:fLNJDi63WxbVPGXFfbsQmlo2h2wV9LHd8tVPTMn57BdTuAE4bu8o:v261XjUMAL98n0dnE4s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d8d34a6b624bc8d |
|
VISUAL
aHash
|
0618183c3c180004 |
|
VISUAL
dHash
|
8631b27161303208 |
|
VISUAL
wHash
|
ff3c3c3c3c3c180c |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
8631b27161303208 |
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 253 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.