Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16ED3B571F220315E5633C3CA75E2DF8EE263F98CDB32A258EE90912B26D5CB50C259C5 |
|
CONTENT
ssdeep
|
1536:jL3cfKq11Zg7yTg9gzUNzABs2Yj3JyLKY/1JXL9gGApgl21Zpu8spi5aIIh6sGUC:/G/ED |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f474a120e6d5c5d9 |
|
VISUAL
aHash
|
e201dab4e0fafeff |
|
VISUAL
dHash
|
0e9d924489b228cb |
|
VISUAL
wHash
|
c201daa4e07a5efb |
|
VISUAL
colorHash
|
07001240002 |
|
VISUAL
cropResistant
|
0e9d924489b228cb |
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 280 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.