Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1040241F1D060DD360B1281D5B7F67B2F76B1C345CB420A9453F853AA6BCEDA1CB12899 |
|
CONTENT
ssdeep
|
192:Qz/KZzj0LzO8i7d5duLG5XQ50kUE66178K:Qz/M+O17nduSY0kx6Y8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b703131ccc7ce8e |
|
VISUAL
aHash
|
0f0f1f1f1f0f3f1f |
|
VISUAL
dHash
|
9e9e7e7e767afa78 |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
9e9e7e7e767afa78,d49696828e968ec8,9696b20f492692b2,e0e19dbe9f9d7d3c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.