Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163E102E1C044DC3B531386E6B7B6275F75A6C349CB060E8853F853EA5BDEC60C923A99 |
|
CONTENT
ssdeep
|
96:Tkf97kh4lzH03feGnVIoAEvwvFVeBXBHF7e82XYz/LVI2rQPJ:Qf97kh4lzH031n1AEZnk8LzDrrQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343436db83cfca4 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
d8cdc4200d236913 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94bda984b4e,00203038300c0811,4300000000000000,040408c8d4c9ccc4,03332323e0cc6363 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)