Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189F11DF0C414ED3B475282C6ABB66B0B7750C746CB47094193E882ABABCAC70CE6659D |
|
CONTENT
ssdeep
|
192:QBx1EG7QzD0k8iIlAy3hUu9cXW31Hy3okYMnkOEYjQR:QBx1EFX12AWhUuT1HWoFMnkObM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e66699994f989c64 |
|
VISUAL
aHash
|
ffe3c3e3e3ffff00 |
|
VISUAL
dHash
|
0e0e262707061000 |
|
VISUAL
wHash
|
e3c38383e1c7ff00 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
0e0e262707061000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)