Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172515130643C8D3F63A647E6B2BB2F0963C4D245DB92031062F423AC9EC4D77CE9624A |
|
CONTENT
ssdeep
|
48:TqTNITNZTN2TNvwI5jEqEmamuH/GdxHBDz9CKbuvgO3E:TxI5QpHudxHffbegO3E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92696d3838c76d9a |
|
VISUAL
aHash
|
003c3c3c3c3c3c00 |
|
VISUAL
dHash
|
d0d0c0f0f8c0c0e8 |
|
VISUAL
wHash
|
003c7e3e3e7e7e00 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
b2a292e2fa92a282,d0d0c0f0f8c0c0e8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)