Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182039A31E009117A406FEAC8A47CEFDA32EBE30DDE47411566AC53923FEBE90E956570 |
|
CONTENT
ssdeep
|
384:8WF75o1bQ8C1TPimdIFGjsbJgYJnpUNw0PxXtA4HM3pt1EHOrApZyjk2BEdZ0BZ3:8zk88PVdIC8bIXbSt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33993666466cccc |
|
VISUAL
aHash
|
c7c7cfc3c3e7c7c7 |
|
VISUAL
dHash
|
0c1e1e1e0e0c0e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07002000038 |
|
VISUAL
cropResistant
|
0c1e1e1e0e0c0e1e |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.