Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173634F71A152993B41AFB1C5E6785B496283D30BCB120FC9B7F4876B9FC6D24EC1B1A0 |
|
CONTENT
ssdeep
|
1536:IqT60HQZKz3QZlAPQZX8wQZ98L/NlQr/NdC7/NYGM/NMVHLl0p3LlSlPLlLnwLlw:IY60HQZKz3QZlAPQZX8wQZ98L/NlQr/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea08b7c53712cf34 |
|
VISUAL
aHash
|
0041c18170f8e6c7 |
|
VISUAL
dHash
|
dc85a307c3e38c0e |
|
VISUAL
wHash
|
00c1c1c1f0f9e7ef |
|
VISUAL
colorHash
|
17007000040 |
|
VISUAL
cropResistant
|
dc85a307c3e38c0e |
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 152 techniques to evade detection by security scanners and make reverse engineering more difficult.