Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAD3B7B24161D8B4951FA3E6D630B314A4F793BFDBE45BF0E0A4C3B0AB46C69AC53446 |
|
CONTENT
ssdeep
|
1536:ggpSgX5kGSQU0346jPWkwms+aPcXnUnxj7tjeErLmy3/gvJcExSjvR7aX+CKFKIY:HNjPWpHCpkjve |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b641dcc374c0dc |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
4c080c4d0040c8c9 |
|
VISUAL
wHash
|
fee7e7e7f7000000 |
|
VISUAL
colorHash
|
17000000e00 |
|
VISUAL
cropResistant
|
54080c0c0c0c0c00,4020c8c129d1c0cc |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.