Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE2B531D009793F16ABB3D0E771A35A629686CDE943031A82FDC74D0BDFD90DE0A596 |
|
CONTENT
ssdeep
|
384:7bh7IIKR9mIIIII9YlBrm8qU/uBSSii8p3TLCEYLCOSxUWq2/uOpW:NIIxIIIIIyYBSTLCEguDE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e3e7ef3f3c1818 |
|
VISUAL
dHash
|
9fc7cfdbf1e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef3f781818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0000606161600000,9fc7cfdbf1e1f0f0 |
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)