Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19573F9A83919F5265EB343A710EF14037378122B580D4D70B254FD9EB6B8C9AB06BFD9 |
|
CONTENT
ssdeep
|
768:FkiuUwYP4Yp5mK+4x4eIP32yEZMLwypGCCdaMK6kyLw15l9xy+UOLmXzRVT27OM:bbLx4TESLwsGSMBDLw1j90+1LmjzQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8baa26aa8baa26bb |
|
VISUAL
aHash
|
8100001818000000 |
|
VISUAL
dHash
|
05000c32320c1000 |
|
VISUAL
wHash
|
ff818199998181ff |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
05000c32320c1000 |
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 30 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.