Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126E2A431A019AA3F06D7A3D1EB74A36AB391838DC947072A82FDC75C4FEBC90DD16494 |
|
CONTENT
ssdeep
|
384:SFIItkS0QhIIIII9flBHUhhP21mvJEJLHMIsdXC1I1y+R4kOpGpW:SIItkMhIIIIImJu8JwrOdXqIM+SkOpB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3711c9c396396 |
|
VISUAL
aHash
|
00e3e7ff7f181810 |
|
VISUAL
dHash
|
97c7cbf3e5f3f0f0 |
|
VISUAL
wHash
|
00e3ffdf7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000706969000000,97c7cbf3e5f3f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)