Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B053857251417A3B108742D5DF2CA35BB3C1CA4DCBB54943EBEC831AA2CBDA0DD36A65 |
|
CONTENT
ssdeep
|
1536:vw10lNUNEIidV26nQ68c6Qy6h/6HuQWxm/r8Sdd6mc3iD+:JjUnin26nQ68c6Qy6h/6Hr5+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc12c2c3e9e8b369 |
|
VISUAL
aHash
|
ff1e8e8b8bff9f8f |
|
VISUAL
dHash
|
49343c33333a353a |
|
VISUAL
wHash
|
fd0e0e01898f8f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
49343c33333a353a |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)