Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC21D07184C05D3BE3F3D36CCBB273282645CA88C3C25D8856F259CD46D8E51C8A62E5 |
|
CONTENT
ssdeep
|
12:nwAy7FWy7FUNNW2ev4Yg5m21NW342YxFQfhAuqFVAhli8v9liL9Yx5xNhAgajq1y:n9CECe0tvHg5mcIoAy4bZX7LN1aTpHF9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c74d98b038666d6d |
|
VISUAL
aHash
|
183c302466663c3c |
|
VISUAL
dHash
|
6969696dcccce869 |
|
VISUAL
wHash
|
183c2c34667e7e3c |
|
VISUAL
colorHash
|
024000080c0 |
|
VISUAL
cropResistant
|
e8c8d2cccc4cccc8,9b9b970e5c5b5f27,2626968c44240418,d96d6c56662e2d1d |
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 8481 techniques to evade detection by security scanners and make reverse engineering more difficult.