Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7D1B671A0887B7B6163E3ECE3B3B771B1478266EA054518F3F082995381E09CFDA1E0 |
|
CONTENT
ssdeep
|
96:bjSTw7DfjODhC6x9A9SEKAal9nG40gRu9vtv739fcbVGE2KK8gBhJWKPWCq:PxDbo4KbHnGqiuVGE2KKHBhgKPRq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9356f6f5790e0701 |
|
VISUAL
aHash
|
e6e43d99cbe7e7e7 |
|
VISUAL
dHash
|
0c4d693b924c080c |
|
VISUAL
wHash
|
06041d09cbe7e3e3 |
|
VISUAL
colorHash
|
07000230000 |
|
VISUAL
cropResistant
|
0c4d693b924c080c |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.