Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6517BF1D3B5D73B52E383CD51A2E7B632C34649DE8A13669BE887D80ED2C51EC12151 |
|
CONTENT
ssdeep
|
48:T+uHm8UNaKK43tw7vuEjTE0AyGh6QGTcuREqn8T:T+jLNaetytZ+hEoumQ8T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
870707fcf8f80707 |
|
VISUAL
aHash
|
3f3f3fffffffffff |
|
VISUAL
dHash
|
e0c0c00040000000 |
|
VISUAL
wHash
|
303030f0f0f0f0f0 |
|
VISUAL
colorHash
|
070002100c0 |
|
VISUAL
cropResistant
|
e0c0c00040000000,69a88690c0c88280 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)