Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F58314B342506C79371A4DB4F2B1B73ED153B66ACC17E890E3B97A4B5FC8EE48582148 |
|
CONTENT
ssdeep
|
768:OyWFKm54MMtlWHTowgEOLGTHh24sfC9/mnNbm/xo:2KmPMtl5cOWB24sf9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a22204c4ffded6cc |
|
VISUAL
aHash
|
010000ffffffffff |
|
VISUAL
dHash
|
a79fdf1b17a8aaaa |
|
VISUAL
wHash
|
0000008fffffdf4b |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
00a5a5a404186fff,ff1b1f54a8aaaaaa,7fbfbfcfcf7fffff |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.