Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2029330A144BC3B40C786C5A1B5AB1F77D18552C6034A0AB6F5838E6FFBD99EC16279 |
|
CONTENT
ssdeep
|
192:GBTgMFVeiZrNif7D7Rlcm+GrgUYDTaI7er6KhJ:GBxFYiZyypGNH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e878da52d25ae8e8 |
|
VISUAL
aHash
|
ff000000000000ff |
|
VISUAL
dHash
|
29160bd0d0020000 |
|
VISUAL
wHash
|
ff00007e1800ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0001292b2b410000,0000000000000000,c00303d0d0020000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.