Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174C1E97399D69C077E36C19EADD1F31999B292C4CA0A8CCCA1DC52AE36C8DE141D3272 |
|
CONTENT
ssdeep
|
96:T//yymfj9TJqaaSS2VLttYgPCYjlwhrjZcC:TyVrp6YalB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999cccc3399cc66 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
31000008e00 |
|
VISUAL
cropResistant
|
0d0f1b9e960f0f96,0505050505050505,4040404040404040,fc7cb4b2740173d4 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.