Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168E2B632A048793F0697B2D1FB75A35BA2C643CDDA47471A42FD8B4C4BDAC81DD029DA |
|
CONTENT
ssdeep
|
384:t5IIokbIIIII9RlBmZhebh7d36XyGLI63HQvpW:TIIdIIIIIYe9B3myY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e3711c1c3963c6 |
|
VISUAL
aHash
|
00f5ffff3f181810 |
|
VISUAL
dHash
|
c7cdcbd3e5f0f0e0 |
|
VISUAL
wHash
|
00e5fbff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0008c4c4c4400000,c7cdcbd3e5f0f0e0 |
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)