Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155A1437158242937131B19CEF2A69B49B0C3C20ECEA72C0596FE13E607F6D629A67572 |
|
CONTENT
ssdeep
|
48:suzN2LJ3FSvSZMOHfrngZryU2th6WiyU2iKh6W8kSr+NVQkreIduhl:sAcLKvSZMOHfrn6qtTiqiKTSroPS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666659734ccc |
|
VISUAL
aHash
|
0018181818180000 |
|
VISUAL
dHash
|
4db2b2b2b2320c20 |
|
VISUAL
wHash
|
00fefcfc3c3c0c0c |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
e2e282f2f2c03333,4db2b2b2b2320c20 |
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 5902 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.