Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11973647221027B7F128382E18319EB59D3C6D649C7A3894BA7EC431F2787DE0DD396A5 |
|
CONTENT
ssdeep
|
1536:/qaxJEZDcAc0h4X4mhZyd04WGflXpC03xVuz8YC:+fm49XPOC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696f0 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
9493c8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238e86,8c83d3cbc4c8dcd4,4561417971690141,00454d7171414541,16db6dadad8c4b2b |
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)