Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5C2A731E1006A37429393D97372671E91E7834AEB82066693FD83BC1BD7D54EE73829 |
|
CONTENT
ssdeep
|
384:EMazZiIRxj9xsv7xyHxv3Gycuoi3gw6VecIYsOy2+y9BH4cCUIe:zazg7OfG8X0x7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c243dd3a9c28bcb9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8ccccc8cdcd8b00 |
|
VISUAL
wHash
|
0c7c60204465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccc8e0c8cdcd8b |
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.