Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114C2A672D0105A3B4193C3C97361BB2EA2E7D74DDA5B0806A2F9835E5BD7F60DD1342A |
|
CONTENT
ssdeep
|
768:7SCy5NVtAwFGUeC8ATlTaX7sOy2+y9BH4crIe:GAxQTVK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d367f532d42890cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2c0c9d98d00 |
|
VISUAL
wHash
|
80ff3030040cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0e4d43c0c0c9d909 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.