Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED638332A2469C035097D2D5F2718B1F2281C389CB174B65A3F957BE7ECACF5AE1129C |
|
CONTENT
ssdeep
|
1536:AlAUULlgev3e431Zn3Q3s373Y3wRPozXRZChf+mkR2GRleVO+eH99hGbzSGc+uSg:vJD3cYLURmkR2k8VleH99hG3SGPuBAIT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93346c327dcec992 |
|
VISUAL
aHash
|
00007c3c0e7c3c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8c8f0 |
|
VISUAL
wHash
|
00423e7e4e7e3e78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ceccd8d8dcd8c8f0,432c8c9d8c8c4d57,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)