Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12412FF30B0123837523759D1B491470D2327D37AC7831868F7E917BAABCDCE649A27E9 |
|
CONTENT
ssdeep
|
192:FeI3bbRgS87A6g5ZWSkryiHvErEFtkLfI9j0LfI9JzLfI9VQ4LfI9QjLfI9fcLfy:PHw9gHWSkOUFtkLfI9j0LfI9JzLfI96D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc733333cccc3133 |
|
VISUAL
aHash
|
0000181818181818 |
|
VISUAL
dHash
|
0000103030302030 |
|
VISUAL
wHash
|
00003c3c3c3c1818 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0000103030302030 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)