Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CE2C532E00A683F0AB7B3C1EB75A35A62D6838DD943472752FECB8D4BD7C509D12469 |
|
CONTENT
ssdeep
|
384:6OOpYpW2pFCqogRjCVCyRII4yhIDIIty+RAmIIIII96OlBNKXqBTNa0qPw3svNlK:rVIIFIIIIIy6BTNap48tY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3791c1c3963c6 |
|
VISUAL
aHash
|
00e3e7ff7f3c1818 |
|
VISUAL
dHash
|
87cfcb93e5e0f0f0 |
|
VISUAL
wHash
|
00e3e7ff7f381810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c0c,0000607070400000,87cfcb93e5e0f0f0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)