Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151E2B4746101B96BB283CBF1F631BB5FD289C70EC51396CAA3F8834627CADD19D29215 |
|
CONTENT
ssdeep
|
384:NVfT28P7AmVoKqs8zlVFIDzaXFI0JjqF82paKFofjFrF0CST5EQF+d:NVfT28smVoKqsmV+CXO0qqrKe5rKNF8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc66cc669923cc |
|
VISUAL
aHash
|
ffe7e7e7ffffe7e7 |
|
VISUAL
dHash
|
044c4d4d30104c4d |
|
VISUAL
wHash
|
07070303fcfce0c0 |
|
VISUAL
colorHash
|
07001208040 |
|
VISUAL
cropResistant
|
044c4d4d30104c4d,33331349aaaa314d |
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 401 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.