Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102236B726332B4B843DFA1EEF73C2945A2D2988DF9CB4594B5C95A8D13C3C906193BB4 |
|
CONTENT
ssdeep
|
1536:ah+EsZ/8LB1ADawjMqB3wZMqBO82+/9dtyDiedOyphfZ7IhKwEw7:auMrwNw6820D0j0+DG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95cacb6a6c8d6ac2 |
|
VISUAL
aHash
|
020e6f0e42026f0b |
|
VISUAL
dHash
|
9e9aaa9e969e8a9a |
|
VISUAL
wHash
|
ff4f0b0b4a026f0b |
|
VISUAL
colorHash
|
3a000418000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,df3f7fb733337363,0000000000000000,8269dc94b4b653ac,ffdf3f7f7fbfb733,0000000000000000,9e9aaa9e969e8a9a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)