Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11603DA3268896A3F05C3D3C9A3241F5BE79E830CC27696A9A5EDC2A50EC3D54CD6DDC4 |
|
CONTENT
ssdeep
|
768:w7t5zrccFJlBk2U9m0VN8EhQxJUhQ+IBQPJm4YC55IWNXJcB0JAXoWN:w7XzocFJlBfOmEN8Eh6UhQ+IBQPJm4Yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb09ce3b8c4b9 |
|
VISUAL
aHash
|
ff000000043e1e7e |
|
VISUAL
dHash
|
71f0c4d0acacbc9c |
|
VISUAL
wHash
|
ff1800007e7e1e7e |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0021413171450002,3a323a2d2e090981,b2a2e0e8d292170d,8c8a8b9899c8caca,70e0e4d0acacbc8c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.