Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FC1BD609409E96F7E43A8DF4AE5EF088DD1D529E50202C8D39A3C8D0FCED70D19DEA6 |
|
CONTENT
ssdeep
|
96:TiUIH9c4VobxdnNUzcMOiPCtzyIJdRotU8glPL88utNLTtm1VI8nCRo8h0+gDfqS:Voc4VobxdNcgiP8xMvgljsNLI19gjKeS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc53226c99738cd9 |
|
VISUAL
aHash
|
0000181898d8e6ff |
|
VISUAL
dHash
|
000c323232320c00 |
|
VISUAL
wHash
|
00001898f8fcffff |
|
VISUAL
colorHash
|
00003000180 |
|
VISUAL
cropResistant
|
000c323232320c00 |
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 7779 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)