Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0E152F1E454ED3B471286D4EBB96F4B7781C34ACB070A4193F882AB9BC6C60CF25599 |
|
CONTENT
ssdeep
|
96:TkgntlzHJ1tJMUtw+t7WLwvFle9XlHF0etXZX/+yt7w6At7vhJ:QgnrzHJ1zMUtw+o/r97XGy6jtn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec13931b43d31a |
|
VISUAL
aHash
|
fffff3ffffff0000 |
|
VISUAL
dHash
|
0626262726d62000 |
|
VISUAL
wHash
|
f383f1f19fef0000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0626262606263806,421c627248a6fa02,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)