Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BE2A93171007A3B519BC3DDB762E72AA6D3830AEA46050592FDC36D5BE3D50EE2352E |
|
CONTENT
ssdeep
|
768:B5y5N5mb6KoJeMOPAmxJSumb7sOy2+y9BH4crIe:R2rJ1MXJSuO7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c74d92386db2 |
|
VISUAL
aHash
|
3b0f83cfc7d0f8fe |
|
VISUAL
dHash
|
e2be3e3d0c2622d8 |
|
VISUAL
wHash
|
3b030787c3d0e8fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2be3e3d0c2622d8 |
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.