Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D2B571B104763B0157C3C9B761F72E92E35249EB45091A53FC83AD0BDBE60EE2356A |
|
CONTENT
ssdeep
|
768:0fSzy5NlgD+G7kpvapFoZCiiJblvxITaLcQCGeTogp0o7sOy2+y9BH4crIe:0uD+G7kpvapSCblvxITagQCBTogp0o7F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c347c53a9038bcbd |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8cbc3c8cd098b00 |
|
VISUAL
wHash
|
6cf370000405ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00458988000,d8cbc3e2c8cd890b |
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.