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
|
b92ac65dcdc493c8 |
|
VISUAL
aHash
|
ff010109090effff |
|
VISUAL
dHash
|
af1fdb535b18ccc0 |
|
VISUAL
wHash
|
ff010109090cffff |
|
VISUAL
colorHash
|
13000180001 |
|
VISUAL
cropResistant
|
ac0f5f5b9b531b18,c0c0c0a0d0d0e8e8,387af3f3e1e1e0c0,8080c0c08064e2e0,2f1f5bdb53531b18 |
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 3772 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain