Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128A2B532B1006A3B51A3C2CCB7E2B72E91D7534CD7960519D6FC87AD4BE7D94D92340A |
|
CONTENT
ssdeep
|
384:Fwfy5NwIWIJsQucTMIIIIIIaIIIIVp2RQLpXzUb/oIIIIlTtIYsOy2+y9BH4cCUl:Fwfy5NwICIIIIIIaIIIIV00zG/oIIIId |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367bc38ed169681 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
18cfccccc8cccc00 |
|
VISUAL
wHash
|
00e07e746004ffff |
|
VISUAL
colorHash
|
39000000c00 |
|
VISUAL
cropResistant
|
0080801858808000,184bccccc8c8eccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.