Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1134A726332B87843DB91EEE7382956B2D2589DF8C74454F1C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ak+EsZx8/G874oDawKMLB2wRMLBOwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:ak+EsZ/8UoDawKMLB2wRMLBOwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f94d06bc19032 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
71715d4d55000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
1e001000e00 |
|
VISUAL
cropResistant
|
71715d4d55000000,f333d4d4d4d4c9d4 |
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.