Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2234B726322B8A883DB91EEF7382D46B2D2589DE8C74450F5C9568D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ae+mq+EsZx8/G8IRF4zDatrzM7BL3tr8M7BLR7Ucix+y9dQpUDF1E56ITmHDLBAk:ab+EsZ/8COzDatHM7Bbt4M7Bd7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebbc95c1d1b59094 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
517171454d454541 |
|
VISUAL
wHash
|
ff818181b9bd81b9 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
517171454d454541,b2f030c8c4c4c0c0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.