Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135E2B531A048693F069772E1FBB5A35B729983C9E9474725C2FD874D0BDBC90DD064E8 |
|
CONTENT
ssdeep
|
768:2IINIIIIIgnFUwiHefdp/mDwCWsZHSNap:2IINIIIIIgnbYeVp/GwCWsZcap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3963c69c |
|
VISUAL
aHash
|
00e3f7ef3f3c1818 |
|
VISUAL
dHash
|
87cfcdcbf1e4f0f0 |
|
VISUAL
wHash
|
00e3f7ef1f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0000c8c4c4c00000,87cfcdcbf1e4f0f0 |
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)