Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117E1FBF0D050ED3B435385D9A7BAAB1B77D1C349CF430A4493F883AB6BDAC60CA15699 |
|
CONTENT
ssdeep
|
96:Tk1n7D71tVt8v67McdBiH+SStfwvF9eZXxHFMeBXvz/JxUtqFYff2J:Q1n7D71Tt8iIGBSq33RFzoYFcfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc334ecc4c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
080c0c0c0c001000 |
|
VISUAL
wHash
|
c7c7c7c7e7e70000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
080c1c0c0c0c0c00,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.