Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133D15371C140DD3B0203D6F0F7A4FF27A686C395DB0A198156E4A3BF7AEAC80CA75599 |
|
CONTENT
ssdeep
|
96:RuUakVR6AQ7dVfGfxuHsnCd2fPmR5mrDtc2bba:bRVR6Aqeq6WRErD+2bba |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbcacb2567208adb |
|
VISUAL
aHash
|
3c3c3c100000003c |
|
VISUAL
dHash
|
7171716046c78669 |
|
VISUAL
wHash
|
fcfdfdfc000000fc |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
a2c06880cc103232,101080488ee86970,d2c9edd292ab6be6,8280808080c0a294,7171716046c78669 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)