Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192E29431A148683F09AB62D1FB71A35BB2C783C9D947472A43FD8B4C4BDAC92DD064D9 |
|
CONTENT
ssdeep
|
384:tYIIoklIIIII9rlBmkiFOb7hz16RY8u6Ii3SsQvpW:SIIXIIIIIeOHR1YY8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3971c69c |
|
VISUAL
aHash
|
00e1f7ef7f3c1818 |
|
VISUAL
dHash
|
c7c7cfdbf5e5f0f0 |
|
VISUAL
wHash
|
00e0f7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c0c,0009c4d4c4400000,c7c7cfdbf5e5f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)