Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9727830C095AA1F11A392C0FE30EB5E935392C5DA174F0996F8566FFECEE958C160E6 |
|
CONTENT
ssdeep
|
192:WNLMRycYqK1jvpXVO0WEvoz9f6DGOzjzGzYKlbIt+7Ztc46HxEr6ORl8E:WSycsb9G9iVPuZ++DgNORl8E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f19693618766c66c |
|
VISUAL
aHash
|
ffdff7e7c3c3c3c3 |
|
VISUAL
dHash
|
4cb8ac0c97969696 |
|
VISUAL
wHash
|
ffdcd4c4c1c1c1c1 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
b1b994565276c451,4cb8ac0c97969696 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)