Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E34B7B3A25C243A3B770FC0E454A71A74C3910ECA4F41D6A2BEC3D953FAD925662687 |
|
CONTENT
ssdeep
|
6144:7zR1YF9IPQfgtpGXbKAnKkTrC7X1r5+NphvxrDWmuYSPJcZz79su7CDoY0drBNAr:fYFy4fgtpGXu1r5+NphvxrDWmBZ7AoY5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4d1292176d4d69 |
|
VISUAL
aHash
|
00fbd1c1ffffc1c3 |
|
VISUAL
dHash
|
dc331333033c2303 |
|
VISUAL
wHash
|
00f1c181ffff81c3 |
|
VISUAL
colorHash
|
06000200012 |
|
VISUAL
cropResistant
|
dc331333033c2303,c94d555555555595,ffff7b7df47c7fff,3339f29666a9a930,ffefe3f3f3e3efff,408090101000c000 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)