Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C53837062111A7F40CBC3F0F620BB6EE1D99399C66B9759B3E8C35A2FC6C56CC99214 |
|
CONTENT
ssdeep
|
768:Z9wK7MTgFO0DEhoKJvy4yPX5ATa+C0oc0z1zbYXiMixpxUdo20YUsYszgGGghUfF:SvPGBHsI7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4c46b39b5c4683b |
|
VISUAL
aHash
|
007c7c7e46400000 |
|
VISUAL
dHash
|
d4d8c1ec8c914010 |
|
VISUAL
wHash
|
02fefeff6fe00000 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
cdcccc4c1c4c4c4e,d4d8c1ec8c914010 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.