Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124E12EF1D050ED3B475386D5A7BA6B0B7791C349CE03094493F883AF9BCAC60CB1659A |
|
CONTENT
ssdeep
|
96:Tk3nbzDJ1tkUcQt8v67McdwJwvFpelXZHFYewwXs2X/PIytG6fq2J:Q3nbzDJ1bcQt8iIGwxbRwr2XIywaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece4139319bc64c7 |
|
VISUAL
aHash
|
fff3f3d3ffffff00 |
|
VISUAL
dHash
|
382626b600220000 |
|
VISUAL
wHash
|
9cc0c0c00f0fff00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
382626a630000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.