Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131534C36F62D3D7D53CB41DEF73C9A93F3C28498D5928524788892AD13C6CC1A25B7A8 |
|
CONTENT
ssdeep
|
1536:aC5++EsZ/8re5F5ULr5HDVSiM7BqSJM7BoUxx+y9dQyDF15KOhqovhe9u:aA5F5UzSiSpUxxpDzHE9u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f343038c08c9f |
|
VISUAL
aHash
|
8787bfdf8fdfffff |
|
VISUAL
dHash
|
3d6d711539363526 |
|
VISUAL
wHash
|
87879f8181939f93 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
3d6d711539363526 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)