Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1341349726332B8A843DB91EEF7382D16B2D5589DF8CB4414B5C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8l4BDawpMDBHw8MDBhwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aE+EsZ/8uBDawpMDBHw8MDBhwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afb1d4c4b1c4d1d1 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
4d69696949616169 |
|
VISUAL
wHash
|
ff8981b181b5bd81 |
|
VISUAL
colorHash
|
32000e00000 |
|
VISUAL
cropResistant
|
4d69696949616169,dcf8d8c4dcc4e4c8 |
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.