Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C327306D748662C229A4164FA32C7EE771042E6D31D0FA96B3D827FB44D2E5C83B6DD |
|
CONTENT
ssdeep
|
192:uy3BN04S/RfswFWH+7MfKTpKgLpRvFVCI/Audyv1Y0VJwccekNiPZci/Z0qR2CIy:uy370F5kwy+7MyNBLpRhOPR2JQYCr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed69cb9692922996 |
|
VISUAL
aHash
|
c38181c3ffffffff |
|
VISUAL
dHash
|
030313072c373f1b |
|
VISUAL
wHash
|
81818181c3f7dfcf |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
030313072c373f1b,0000842020801000 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.