Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EE2A531A009A83F0AAB63E6E771A35AB3C6438AD9131B1A43FCC75D5BEBC50DD53458 |
|
CONTENT
ssdeep
|
384:2qII0cpIIIII97lBmr5+kBV4q2Zp9gh6DoA+GVf5A/YeTZHpW:xIIPpIIIIIWRIq2ZTghYnN5A/Yeu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e373381c387933 |
|
VISUAL
aHash
|
00f7ffff3f181830 |
|
VISUAL
dHash
|
97cdcbe5ed73f0e0 |
|
VISUAL
wHash
|
00f5fbff3f180830 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606161480000,97cdcbe5ed73f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)