Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128223073B500DD294AAB55CCF2C09A89461EC346FB3148CAB1A480FF7BC4DF1699679D |
|
CONTENT
ssdeep
|
192:DIyhv8YcpcLch4IHkHBAHxkFsMcnthWeNWbZfMmUU8VCol+:E8cpcLchHHkhN9fMmUFCoo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33323cccccccc99 |
|
VISUAL
aHash
|
e7c3e7ffffffffff |
|
VISUAL
dHash
|
4d4d4c2004000001 |
|
VISUAL
wHash
|
e0e0e4fc00000303 |
|
VISUAL
colorHash
|
07007040000 |
|
VISUAL
cropResistant
|
4d4d4c2004000001,a28082a280bac4c4,c9c811e272ee7233 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.