Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5C2FA9381256D3F564BC3E8F744E661316EA1A4CB8B1D05A3FACBE91DF2C61BC4D424 |
|
CONTENT
ssdeep
|
384:r9pPwEeS1p1F1xJtMWZIOPaQYzfxDripgCCZknEeX7P9Ywf:r9pdeSPbJmpO4VMweXvf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d99722766266633 |
|
VISUAL
aHash
|
1c1c1c3c18000000 |
|
VISUAL
dHash
|
7232727272446080 |
|
VISUAL
wHash
|
1f3f3f3e3c1030e0 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
80f0f0c033078886,7232727272446080 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)