Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD22B72BF20867290F93438DE6D193FD962BC2DDB27016CA75C9C03E26819F585B2397 |
|
CONTENT
ssdeep
|
192:95UitQu6rTQ8vMSbTHhVKz+6syWg2fMmUU8VCoaGcqtEK:ETQ80SZAzx2fMmUFCoX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8003ff3b7d781839 |
|
VISUAL
aHash
|
033f1f1f1f3fffff |
|
VISUAL
dHash
|
dee6f0f8f0e04000 |
|
VISUAL
wHash
|
00031f1f1f00fffe |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
dee6f0f8f0e04000 |
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.