Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8F27531A2559E3B40B7E2E4E3A1A32F22E2938AC946034593FD477D0BEBDC4FD26554 |
|
CONTENT
ssdeep
|
768:gargTAWIJIMfMpIAJFE5nV0U4eZPKBo81DilCr9Eht:gAWIJIM0pYnKBo8VilG9O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3f43c34c19496b5 |
|
VISUAL
aHash
|
46407e7e6e0c002c |
|
VISUAL
dHash
|
c488ccccd83898d9 |
|
VISUAL
wHash
|
4260fe7e6e0c0e3d |
|
VISUAL
colorHash
|
38601010000 |
|
VISUAL
cropResistant
|
c488ccccd83898d9 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.