Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A36933411935274437C6D130A55B3BE2A6995FFAE70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:4xn7Z7q+Lz4NP/y9svbliCdxo86HGFtiuCa28y2O9:uhmA+6Hl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d538bd29b447 |
|
VISUAL
aHash
|
00607000000000ff |
|
VISUAL
dHash
|
9cc9c3cbcc2cd3f0 |
|
VISUAL
wHash
|
00fff371340038ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
c080c12030808080,dcc9c3cbc9ec0cd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)