Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19603B73162006A3F4183C3DCF321F72EA39682C9E646521153F9872D1FE7DA6EE27659 |
|
CONTENT
ssdeep
|
768:yTy5NJkIux+xXNtPTsd7RRzbmI7hyf1g37sOy2+y9BH4c1Ie:gygVRR37sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367b018ec0ec7e5 |
|
VISUAL
aHash
|
002020200000ffff |
|
VISUAL
dHash
|
c4c9c9c1e0c8d800 |
|
VISUAL
wHash
|
007c7530300cffff |
|
VISUAL
colorHash
|
31000000038 |
|
VISUAL
cropResistant
|
1480802058d08000,c4c8c9c5e0e0c858 |
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.