Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2C2A871E114673B02A3C2CE7362BB1AA3D3824DC749161553FD83AD1BEBE40EE27656 |
|
CONTENT
ssdeep
|
384:ue4lULxyBbTBaHwSTRsBUWkgtDcTF0hIYsOy2+y9BH4cCUIe:ue4lf5eRsdkgtQTk7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069438bc3cf4e7 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9cce0c8c8c800 |
|
VISUAL
wHash
|
067c74300064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc9ccc4c0c8c8c8 |
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.