Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BED12EF1E004DD37035285E5A7BA6B0FB391C785CF47068157F893AA9FDACA0CB11589 |
|
CONTENT
ssdeep
|
192:Q6S1yTngknzDJ1oP/t8iIGd5aQAXu5MEdw:Q6S1y0kzNWl1Zna4MEdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8bc47c3b81cc743 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
303020b400400000 |
|
VISUAL
wHash
|
9fdfcfdfcf000000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
2030302030381040,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.