Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0C1AE609405A92F7E43E8DE49E5EF089E96C529ED0203C4D3992D8E0FCFD70D19DEA2 |
|
CONTENT
ssdeep
|
96:TiUIr94u/Od1znDUdcMOiPCtzyIJdRoLU8glJL88utNLTtm1VI8nCRo8rS+gtfAS:VU4u/Od1zDagiP8xevglFsNLI19gjeSS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc1b226c99738cd9 |
|
VISUAL
aHash
|
0000181898d8e4ff |
|
VISUAL
dHash
|
000c323232300c00 |
|
VISUAL
wHash
|
00001898f8fcffff |
|
VISUAL
colorHash
|
00003000180 |
|
VISUAL
cropResistant
|
000c323232300c00 |
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 3889 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)