Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12112C73863892737018742B1B2111BFFF3B9C15ADA2B97DA75B4C19C27D1D904AB67C8 |
|
CONTENT
ssdeep
|
192:Cu4xmh6+anTKCpFxVzN5DzzvoRpTZQkO8C+waHpt7pvi0WspyXve+UyvUxW:QuiOI/zzvoxg+hABDU4UxW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8969638346d96cb |
|
VISUAL
aHash
|
ffffffc3c3c3c3ff |
|
VISUAL
dHash
|
0f1f130f13171717 |
|
VISUAL
wHash
|
c7ffef81818181c3 |
|
VISUAL
colorHash
|
0f000038008 |
|
VISUAL
cropResistant
|
0f1f130f13171717,ee5db868d0a2c6c6,302432723530b054 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.