Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170D2857271006A3F1293C3C57720F72EE2E2928AEA85095663FD476D5FD7E50DE2342A |
|
CONTENT
ssdeep
|
768:ieFy5NGEceIZdeDKhsVekpixP+28YoIJ5d/zy7sOy2+y9BH4crIe:AbISDKhfGF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43a9c29b5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc9c3e3cd8cd100 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d000c00258d88000,dcc9c3c3cbcd84d0 |
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.