Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116F22BF563A4A6B9B101C3E4D732563A739751FADE838310C3ED9B8C89D9C8EDC99841 |
|
CONTENT
ssdeep
|
768:RthXTRlXND9bVbv9OpTTRVPYMOXTFsKtbxp:9RFVr9OpvXYMOXTFsKtbxp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313c466aae8adcd |
|
VISUAL
aHash
|
ff040e0f0703ffff |
|
VISUAL
dHash
|
bc5cda5b5b3fe8c0 |
|
VISUAL
wHash
|
1e040a0f0703ffff |
|
VISUAL
colorHash
|
132001c0000 |
|
VISUAL
cropResistant
|
ac5c585adb5b1b3f,8080c0c08064e2e0,1c5c5ada5b5b1f3f,00008080f0d8dcdc |
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 116 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)