Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168325037B004C62E4ED781EEEAC8B399A65EC145F7309583A4F8816FAA41DEC793135C |
|
CONTENT
ssdeep
|
192:bV0oPttiMBWHyHFH9F/wTxJlKlgHS7HnH86iJfMmUU8VCoZsAvSqvlhc:bVRttiME+R9Fo1jKlASrH86iJfMmUFCB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b81949c3cbcd6d23 |
|
VISUAL
aHash
|
f987879fcfc3c3c3 |
|
VISUAL
dHash
|
233f3f3319171716 |
|
VISUAL
wHash
|
c183838fcfc3c3c3 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
233f3f3319171716 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.