Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173F2D771A1042E3F4187C3C9F351F32AB2E7528ADB85021592FD872D4BE6E91ED37629 |
|
CONTENT
ssdeep
|
768:Juy5NbhWkP9KkabnsIR67sOy2+y9BH4crIe:lhT1Kg7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36bf05ccc12cd92 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
874949c9c0546d00 |
|
VISUAL
wHash
|
00e57d00302cffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
3d7c008812708000,874949c9e8e0546d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.