Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0C197735000102B1E6386D4AAF4BF09ABB7D98EEB891412B1DE828C1FC7D7CEC525D5 |
|
CONTENT
ssdeep
|
96:y+vPgx2udEPdDHysQCICiFUOTz3tfmvMmqZD1z4WWciddIVH0HShf6:PHgxf2d7lWFUwJmEmopiLiH0HShf6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e664cc9c9a999933 |
|
VISUAL
aHash
|
f7e3c3c7e7ffe7e7 |
|
VISUAL
dHash
|
26060e0e4d0e0e0f |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07440000003 |
|
VISUAL
cropResistant
|
26060e0e4d0e0e0f,4f4dd69733341c1a,6090906090900060 |
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 12 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.