Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106A242123108165AC2F34CD998107A847282D74FC8715670D6BC4E7A2BD2EB6F799F7E |
|
CONTENT
ssdeep
|
384:T5WbVWbvWbNz2Vsedsebssebc6UYKlidlXMilQRQl+14FshkN0:7/e8YgiZ9N0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5aa7255a8d58 |
|
VISUAL
aHash
|
ffefffc3c3fcfcfc |
|
VISUAL
dHash
|
0c0c009696000808 |
|
VISUAL
wHash
|
00e7c3c3c3c0fcfc |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
0c0c009696000808,00102c32b20c0000,89c8b4b09088aaaa |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)