Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BD2A571E0102B3F029BC3CAFB51F76AE2D3D289EA46041552F9835E5B97E94DE2341E |
|
CONTENT
ssdeep
|
768:AuSky5NYxR3iSqCPYQM9E3tVaCw7sOy2+y9BH4c1Ie:NflMCdV5w7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342fd38b929d5c2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98ccc4cacc6c8300 |
|
VISUAL
wHash
|
00fc7c700600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccc4c8cacc2c04 |
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.