Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170F29231D089693F06AB63C1E7A1A35BA2D143CDE947476683FD878D0BCEC90ED178A5 |
|
CONTENT
ssdeep
|
384:Yu/fIIViOIIIII9mlBVYWH+JTrfM1/laOY2xVIZ+awE7EfbpW:f/fIIlIIIIIaETrE1/ML2xVIZ+E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c183963d6 |
|
VISUAL
aHash
|
00e3e7ef7f3c1818 |
|
VISUAL
dHash
|
97cfcbdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0002e4ccc4400000,97cfcbdbe5e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)