Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A963F860620277961C330FB0F34A3396D19ED748E667785B7399828472C35B7C793AEA |
|
CONTENT
ssdeep
|
1536:km/0wA3ins+mR6fo3E4tGEbSpq8Z7U1c/0dQOebpndgoRaBPif8GwStLd1aHM5AI:VA0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619a9a6565cd65 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
199e969686101616 |
|
VISUAL
wHash
|
c7c3c3c3c3c3c383 |
|
VISUAL
colorHash
|
0e6000000c0 |
|
VISUAL
cropResistant
|
199e969686101616,944d75d2d8cc9909 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.