Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190F112E2D0949C36476242C5FBB63B6F77B1C285CF160A5413F4532F9BCBEA1CA124A9 |
|
CONTENT
ssdeep
|
96:TJCxgzYh7MSKtVSTrmxhUSPRtty8v67MkXdtKCExTWlGGAT431:dCgzYhh14/A8iIcdMzxTWlU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0748bf304fe037e |
|
VISUAL
aHash
|
efc3c3c3c3e7ff3f |
|
VISUAL
dHash
|
08160e16064c08d0 |
|
VISUAL
wHash
|
00c3c3c3c3c3e73f |
|
VISUAL
colorHash
|
07001008180 |
|
VISUAL
cropResistant
|
08160e16064c08d0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.