Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CC398304245C97B0AEB86D8D63A6659B1C8838AC25206C8F7F9C759CFDACD8FD2F154 |
|
CONTENT
ssdeep
|
1536:t44Q8dxHt/w+iZmRsICwC6B0ogZOeN7LsIxN79F:WGwjZCsICwf0TL57T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5679c3a31d554a2 |
|
VISUAL
aHash
|
000000000144ffff |
|
VISUAL
dHash
|
5663e6c6cddd4232 |
|
VISUAL
wHash
|
0020206065ffffff |
|
VISUAL
colorHash
|
02001200058 |
|
VISUAL
cropResistant
|
369881a9a9a181b1,0b42515555555555,c8c1e3f2d8c44915,2000e2e6c2163632,d663e7e6c6c7cdd5 |
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 92 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)