Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100E2A531D109793F1AABB3D0E775A35AA28A82CDE943031B46FD874C1BDFD90AE06495 |
|
CONTENT
ssdeep
|
384:7bjbIIK09mIIIII9BlBrme4U8uBPSii8j3A+Jd1qKOZOURqCiuOpW:nIIKIIIIIv9BHA+Jd+cMr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e3711c1c3963c6 |
|
VISUAL
aHash
|
00e1e7ff7f181810 |
|
VISUAL
dHash
|
87cfcbf3e5e3f0e0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d988c8c,0000616961000000,87cfcbf3e5e3f0e0 |
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)