Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B234A726732B86843DB91EEF7382D15B2D2589DF8C74414F5C99A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8D4HDawyMDB3wAMDBRwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aQ+EsZ/8sHDawyMDB3wAMDBRwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0c02f859037 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
71717d7969000200 |
|
VISUAL
wHash
|
8100818181ffffff |
|
VISUAL
colorHash
|
06000000e40 |
|
VISUAL
cropResistant
|
71717d7969000200,f0f0f0fcdcd8c4dc |
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.