Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7F143F1E450EE370B1281C5A7B67B6F76A1C349CB420E4093F893BA5BCAD61CB1159D |
|
CONTENT
ssdeep
|
96:TkBMz8pDfST8kdtElJvFwvFae5XaHFQeBXkX/P4yt7J6l+AT431:QBMz8puokdql4s5iXIyHg8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e47c93db04fc036c |
|
VISUAL
aHash
|
ffdfd3d3d3f3ff3f |
|
VISUAL
dHash
|
00362626264600d4 |
|
VISUAL
wHash
|
3f030303d3003f3f |
|
VISUAL
colorHash
|
070000000b8 |
|
VISUAL
cropResistant
|
00362626264600d4,6a946a7248b6fa02 |
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)