Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177D2B631A0002B3F11D793C9BB52F76EB3D39289DB46150A92F8879D57D7E90DE2342A |
|
CONTENT
ssdeep
|
768:XSky5N2hx1tWtEGYfZWwu7sOy2+y9BH4cLIe:PXISvZQ7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f0389d69dc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc8cacc0c8300 |
|
VISUAL
wHash
|
00ee7c600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc8cacc0c40 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)