Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6132032E046B9AB02D392E1A736BBBA73D98182EA53471151FAC70D4ED3F41CC36795 |
|
CONTENT
ssdeep
|
384:WIrwf1u16I2clY1xZeOrlNbVEdoAZBhPjyuI03ddRiE1LrmllN6:TrKu16I2jxZeOvVyNnNdRDFB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c369c63e3c929636 |
|
VISUAL
aHash
|
60706008003c7e7e |
|
VISUAL
dHash
|
c4c2cc98cce8ccc4 |
|
VISUAL
wHash
|
e4f8600c207e7e7e |
|
VISUAL
colorHash
|
38200018008 |
|
VISUAL
cropResistant
|
c4c2cc98cce8ccc4 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.