Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172716A7191829AA71193D1D09B775B2F7AC0C349CA9B4B0763F8A3AFBFD5C84EE02045 |
|
CONTENT
ssdeep
|
48:Tn3FsyZjc0Nw/uYJG2wuD7vvsv+JN5TNWJnECa:Tnjjc0NEtbNvmJEd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16c33936d9c3499 |
|
VISUAL
aHash
|
c3c3c3dbffffefc3 |
|
VISUAL
dHash
|
9e8e96b6b24d0a9e |
|
VISUAL
wHash
|
c3c3c3db1b270303 |
|
VISUAL
colorHash
|
06030008200 |
|
VISUAL
cropResistant
|
9e8e96b6b24d0a9e,fffcf7f3dc03d3f3,4d333d4d55554d8c |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)