Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EC23E719011BE3710E3C3E1AA72A74BF3A0C286CA275B1973F6876C2FD6C65DC62645 |
|
CONTENT
ssdeep
|
384:EdFGXzFAFzHX3PIO3PeXx4L/oRgAipRwA95aPsc4rJvAxdJG3sV+2T7ligKzKSKn:EdII95JrYJmi+VgOpOHoxt3E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9966b348b658996e |
|
VISUAL
aHash
|
007e1818181818ff |
|
VISUAL
dHash
|
9cf03132b2b232da |
|
VISUAL
wHash
|
007e3c1c181818ff |
|
VISUAL
colorHash
|
00006000000 |
|
VISUAL
cropResistant
|
dc9cdc75351c1818,a280908c8cac94a0,9cf03132b2b232da |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.