Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8D1FCB28508A83B53A3C3DDB7B1A30BB782D685D987164A91F5D34E1FD3DA0CC12252 |
|
CONTENT
ssdeep
|
96:i5ZHUnoGyPs44mGjZzmLK4yYeybq0w2mzClPhUbTuGWVBrGobuwcg5O:i5NnFbO0epcTBr9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e5ca161616584 |
|
VISUAL
aHash
|
809c8080ffffffff |
|
VISUAL
dHash
|
1b30240320202024 |
|
VISUAL
wHash
|
80808080c0c0c4c4 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
1b30240320202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)