Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F3245E061B0BF37469B86C6B6E2577B61E1818AC647529543FDC3EC4EE6CC3EC1600A |
|
CONTENT
ssdeep
|
192:UPA3Pfw3KOlNxR5ROnQfZwfT5WStVX/PamzDmy4E+xzd:P3AOk+WgQQ8zd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb531f3969c25a4 |
|
VISUAL
aHash
|
7e00187c7e581810 |
|
VISUAL
dHash
|
cc9032f0c4d4b2b0 |
|
VISUAL
wHash
|
7e80d8fe7e7c1810 |
|
VISUAL
colorHash
|
30203200000 |
|
VISUAL
cropResistant
|
cc9032f0c4d4b2b0 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.