Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DE2FA215E84B033842B42DEB768BD18A3C3E14AE7425765C6F503796BF4E30BC2639B |
|
CONTENT
ssdeep
|
384:D8ePpJEF25v6rIO8inoFwoorkivLyNeK6eVWVjamu:DtPp6FiDO8inoCr768aX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9893779288b1dd4d |
|
VISUAL
aHash
|
7f00181818180000 |
|
VISUAL
dHash
|
984cb0b3b3f0d412 |
|
VISUAL
wHash
|
ff003c3d1d1c00ff |
|
VISUAL
colorHash
|
30200030001 |
|
VISUAL
cropResistant
|
92a62c3c98d8cb87,c7d1d3d9da9b3b6d,984cb0b3b3f0d412 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.