Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11104A6E1A1406B7F425FC7C99BA5FEDCB3EA105EFA940846C2D8839452D3CD0EEAB544 |
|
CONTENT
ssdeep
|
3072:+peSnUrSnUFaohana/XpeSnU5QxJaQxWFVBM66UBUBUB7ByBS:+peSnUrSnUFX/XpeSnU5QxJaQxWRBUBY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984b673c64671e9c |
|
VISUAL
aHash
|
001c3c3c1c1c3c00 |
|
VISUAL
dHash
|
1771713331396914 |
|
VISUAL
wHash
|
003c3c3c3c3e7e5e |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329aa2b2aa332b,1771713331396914 |
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 112 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)