Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D93EAF3930466FF13F662C6A6593B48FA13802AEBA54BC0D26E40CC67CAD35ED57185 |
|
CONTENT
ssdeep
|
1536:/bCNaWe594KW0JgVvYFdgZ0wNKw3bnHtTcaYRznhc23vIO/g:rX/wNKGlc5y23AO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9293e46d6e399495 |
|
VISUAL
aHash
|
227c4e2c30007076 |
|
VISUAL
dHash
|
c6c8d8c9e8acc6e4 |
|
VISUAL
wHash
|
627e4e6c245c7276 |
|
VISUAL
colorHash
|
300000000c1 |
|
VISUAL
cropResistant
|
c363e6e4e0c1c6d2,c6c8d8c9e8acc6e4 |
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 114 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)