Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF23A8316490673B40C392D6AF778B27A7E49A88D342DB04CBFF835839C9C5DDD66A84 |
|
CONTENT
ssdeep
|
768:JKev/7K43c0rVYzNGAloAIjTQTWWC3feeMQnS3nWbv3w4M60ifd1t0UkqhOzppAS:JKATqRGAaA0Q6WXeMJ/md1iUkyipypvE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333999999316566 |
|
VISUAL
aHash
|
cfe7c3c7ffffe7ef |
|
VISUAL
dHash
|
1c4d4e1e181c0c1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07200048080 |
|
VISUAL
cropResistant
|
1c4d4e1e181c0c1c,735929f3b178cb4b |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.