Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E7243D1D060EE374B2385C9A7B2AB5B72E1C349CF03196457F843EA6BCECA1DA1149D |
|
CONTENT
ssdeep
|
384:QMEea7BeakzqppXHotgaSxAdH/Z6LRkZ4ZpZDZY7q8F:9EeaFea24pXH6nxcRkZ4ZpZDZkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9897622f829fe03 |
|
VISUAL
aHash
|
003c78dbdb080080 |
|
VISUAL
dHash
|
3260b2b292d0cb20 |
|
VISUAL
wHash
|
103c7adbff7e00c0 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
f0e0e1e0e0616764,3260b2b292d0cb20 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.