Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0135830710672B7127BA8E0B8617F893293E35BC02794405BBCA15A4FD7FF9F9191A9 |
|
CONTENT
ssdeep
|
384:dE+yk4nkkia8ZmFbeVPVPKQSGfNdgap40vdHxZay:ik4nkkipZmFGNPKuh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93332d2d3dc32535 |
|
VISUAL
aHash
|
016e6e6e00387c00 |
|
VISUAL
dHash
|
23ccccc818e0c048 |
|
VISUAL
wHash
|
016e7e7e04787e58 |
|
VISUAL
colorHash
|
38001040040 |
|
VISUAL
cropResistant
|
23ccccc818e0c048 |
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 598 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.