Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE21B10684094B1E72263AD1FA80714BC1D3564DCF651DC0B97B413F53ECAD8E06D888 |
|
CONTENT
ssdeep
|
24:h35to1oDays64aGpSyxv4VJ1tMc6y/+Z1+cH:3bmZRaGcyxv4VxMcR+Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c674796964647959 |
|
VISUAL
aHash
|
00fffff7fffdffff |
|
VISUAL
dHash
|
173864e4e5490000 |
|
VISUAL
wHash
|
005ffff77d00002f |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
2630e4e471098802,0f0f171616070f0f |
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 5 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.