Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CE2A531A149793F0997B2D1FB71A35BA3C64389EA07071A42FDCB5C4BDAC91DD024EA |
|
CONTENT
ssdeep
|
384:tjIIokvIIIII9RlBmpRwbrnll6PIoNIa3jQvpW:5IIFIIIIIwwnllIIC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e3711c1c3963c6 |
|
VISUAL
aHash
|
00e5ffff3f181810 |
|
VISUAL
dHash
|
97cdcbd3e5f0f0e0 |
|
VISUAL
wHash
|
00e5fbff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0008c4c4c4400000,97cdcbd3e5f0f0e0 |
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)