Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD225123B600CD2A8D9B5ACCF6C09989421DC34AFA314CCA71A491FFBBD0DF1659979D |
|
CONTENT
ssdeep
|
192:+V3JAd3TWP7BJkrGtqMcnthWeNWbGtmfMmUU8VCoXat:13iPtXt0tmfMmUFCoqt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f323dd88768cdc22 |
|
VISUAL
aHash
|
ffe7efe7e7fffffe |
|
VISUAL
dHash
|
0008080c0c000800 |
|
VISUAL
wHash
|
30202020e0f8fdfc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0008080c0c000800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)