Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD114F20402A4C769413C5F44B94AE003996C347CFA70E090BF99BEE34FAC99DD563D8 |
|
CONTENT
ssdeep
|
24:k2CTOdVG7z37nAKb4ecwIkYNEN9uusxPoYxVyxFHS1sAlLbNp:47nAa45vaHePbEFy1sC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdc1322798d89cf9 |
|
VISUAL
aHash
|
7b61f9fb9911e1ff |
|
VISUAL
dHash
|
c3cf33b333734fb6 |
|
VISUAL
wHash
|
6161f9f91911a1f3 |
|
VISUAL
colorHash
|
064c1000000 |
|
VISUAL
cropResistant
|
aaaa9286b0bab3b2,c3cf33b333734fb6 |
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 2010 techniques to evade detection by security scanners and make reverse engineering more difficult.