Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBC2C67160402B3F11D783C97361B32EA1E3C24DDB86091A92F9876F4BE7E50DD2B56A |
|
CONTENT
ssdeep
|
768:2Hy5NGHYkYj3Sn65SQW27sOy2+y9BH4crIe:ebYj3UrL27sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b412c7ed92b839b2 |
|
VISUAL
aHash
|
3e000e8ecff3fbfe |
|
VISUAL
dHash
|
e0f41c3c1c239798 |
|
VISUAL
wHash
|
3c00048e87f1dffe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
e0f41c3c1c239798 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.