Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154C27672A014273B02A7C3D9B3A1BB2E63D3428DC749151253FD836D5BEBE40AE77156 |
|
CONTENT
ssdeep
|
768:Te7ZXxsNUFRWh6c4yaF7sOy2+y9BH4c1Ie:oXxKb4T7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3069631bd3ce4e4 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9c4c0c8c8c800 |
|
VISUAL
wHash
|
067c74300064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc00d80258988000,d4c9cce4c8c8c8c8 |
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.