Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED9354B61549AF7B214382D18218F75EF783D70EC793EDCAA3A8832B7582DD5C9251E0 |
|
CONTENT
ssdeep
|
768:4fWGXxF7nHNCXDCpXnTlkeJJVDDZhCELWGXxF7nHNCXDCpXnTlkeJJVDDZhCEhRe:5PIRof0dDcPp0csXc5JiU02xmLj8+A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84096be166eb696 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cd38b139233270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
6094109783971094,242565643a22d3d3,4959d79a4c4d2535,a200222f37960082,8212382327000f0c,8c9393d3832b9393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)