Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F34E8B0600157BB271708E4B0F1AE55A24DB35DCB1789C8B3BC59B37ECDCE60C56A9A |
|
CONTENT
ssdeep
|
1536:LMruzWDkkEEEEEed8AsIhw2cF+oc7I6rRzQ9:L5VSdxBFk9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
efcb11960b49ea49 |
|
VISUAL
aHash
|
fffff9f9ffff0000 |
|
VISUAL
dHash
|
63333323234c5656 |
|
VISUAL
wHash
|
b99ff1f199f70000 |
|
VISUAL
colorHash
|
0f003008200 |
|
VISUAL
cropResistant
|
5378333323236f0d,92609a9696966896,02c00b1b2b2bd402,c8c8a89696aa8ae0,010111ceceae0181,ac56560054560052 |
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 2204 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.
Found 1 other scan for this domain