Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3C316B240442D33F6538381DB30B3D7157A81A8D5F658045EB8429AEFEACDE683D7DA |
|
CONTENT
ssdeep
|
1536:trqXzhfO2W/2LR27g2R62+22Hw2fc2HG2fH446+S+d+L+92PwqR1ismc2pRo26V8:vROeX0YkX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7e6874b683094b6 |
|
VISUAL
aHash
|
a0beb60000383e3e |
|
VISUAL
dHash
|
476e641619627a6e |
|
VISUAL
wHash
|
a0beb60a80b8bebe |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
476e641619627a6e |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.