Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151C28631A2206A3F53A7C3D977A1F31E97E28288DE45091952F8C35D4FE7E41EE23529 |
|
CONTENT
ssdeep
|
768:WS5y5NZL+SVD59txS8+7sOy2+y9BH4crIe:Atb/07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743f5389928cdc6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
c8ccc0c0ccc7e700 |
|
VISUAL
wHash
|
00f470302433ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0480800458988000,ccc8ccc0c8cce7e7 |
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.