Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AF26360E1608D3B019352D0F7F3AB76116CD280DF020AF593ED47AB8BA6D9CFA5B255 |
|
CONTENT
ssdeep
|
768:xaUxWSyTZVcEkt0OzGCIpol0VIpk4HDUCTh5:HyTZVcEk63a0VIpx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3a53c988ae38bce |
|
VISUAL
aHash
|
8100707c7cec2001 |
|
VISUAL
dHash
|
2396c8c8e8584619 |
|
VISUAL
wHash
|
83037c7efefca001 |
|
VISUAL
colorHash
|
38001000058 |
|
VISUAL
cropResistant
|
2396c8c8e8584619 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.