Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1897309A83949F5625AB3437720EF14037378121B580D4D70B290FD9EA6FDC6AA06BFD9 |
|
CONTENT
ssdeep
|
768:mjulTUpY1OwDMH5mK+4x4eIP32yEZMLwypGCCdaMK6kyLw15l9xy+UOLmXzRVT2j:KZLx4TESLwsGSMBDLw1j90+1LmjzQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ece3839a3e72631 |
|
VISUAL
aHash
|
8118383c00000000 |
|
VISUAL
dHash
|
21b2606918000001 |
|
VISUAL
wHash
|
813c3c3c00000001 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
21b2606918000001 |
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 111 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.