Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B623171A24A68FB0202D5C3DE057B0D36C040FFDB6F160686F99ABD39F9C64D52A29D |
|
CONTENT
ssdeep
|
192:RYv4r0CrPTvt1402eEaEiECB+dgb7e3KWDeD78DarttwcCI1UYWtSvwG:r0an2e1Dxwd3Kzrttwc5m1G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c332bc3cc3c632c7 |
|
VISUAL
aHash
|
6680646469017070 |
|
VISUAL
dHash
|
443bccccda3bc0c0 |
|
VISUAL
wHash
|
e68864746b837c7c |
|
VISUAL
colorHash
|
38c00018000 |
|
VISUAL
cropResistant
|
443bccccda3bc0c0 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.