Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF124123A600DD2A4D9B95CCF6C09988821DD355FB3148C7B1A490FF3BC4DF0A9997AE |
|
CONTENT
ssdeep
|
192:ta3JEduf9J6pIBnxzcMcnthWeNWbFrfMmUU8VCogo:1uf9J6pufMmUFCogo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da5af8a81c1ab7b0 |
|
VISUAL
aHash
|
3c3c3c3cffffffff |
|
VISUAL
dHash
|
79e96969e8006000 |
|
VISUAL
wHash
|
081800181cffffff |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
79e96969e8006000,303030303085c0c0,01614b1380a1a403 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.