Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DE36631C6950327D215078AE7DB3B56629BD2C7CD927CE8F2A08135DBBEC482C76DA1 |
|
CONTENT
ssdeep
|
3072:Jl9IKJrjylK2E6IOZuagKI3ImJS2gcIYLQICeIkPksuGIyIhuBn9cbpm:rGKNQ5IBf3NSb8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926a934765 |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
0f22622365a31293 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2b22632367a312b3,00829c9484949200,9696969311531b59,8202020606060606,8c8cc5551b6d9b88,9f8d0d8c8f232264 |
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 110 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)