Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159125123A500CE2A4E9B55C8F2C09689412DC389FB314CC7B2A491FF7BC5DF1699979D |
|
CONTENT
ssdeep
|
192:lQ3JIdf0TmAZxCMcnthWeNWbnfMmUU8VCoA:1f0a2fMmUFCoA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
931bcc267363dc4c |
|
VISUAL
aHash
|
001c3d2d2f3f31fa |
|
VISUAL
dHash
|
ecd8d1c9c9eac7f2 |
|
VISUAL
wHash
|
001c2d272f2f33fe |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
ecd8d1c9c9eac7f2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.