Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7235B72A332B87843DBA1DEF7382A16B2D2959EF9C74594B5C85ACD13C3C8025937B4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8+N14+DawEMIBxw7MIBLUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvM:aE+EsZ/8+N++DawEMIBxw7MIBLUXx+yZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab8b2f4559a9705 |
|
VISUAL
aHash
|
fff130f0f0fd7130 |
|
VISUAL
dHash
|
21c1c169c281c161 |
|
VISUAL
wHash
|
ff7130f070f17130 |
|
VISUAL
colorHash
|
07c01000000 |
|
VISUAL
cropResistant
|
21c1c169c281c161,5e5f9791319199d9,3373d2e433c3cada,d2523c331316b4a5,131755a7ad296d4b,5e4f9f91319999db,8e33b11911077776,d25c3c331136b4a5 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.