Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2024752120354237397E4F9E954352EBBC1E8AADBF32A0592F9972E39E7FE0C935104 |
|
CONTENT
ssdeep
|
96:TOUi0MWPt9XhVKYb9UOLbjwlqrMHneC5GRC4trelScrTBFe1K8KMsi:k0MWPtXbDzwRGHqtHBkKdi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6ce3931399393b2 |
|
VISUAL
aHash
|
003c7e3c3c7e3c00 |
|
VISUAL
dHash
|
01e4d4d4d4d4d400 |
|
VISUAL
wHash
|
003c7e7e7e7e3c00 |
|
VISUAL
colorHash
|
3a000000000 |
|
VISUAL
cropResistant
|
a20017160e4d4da2,e0888c8d8cb393e2,e8004c0c140e23b2,e0040d4d962b0f8c,e08c8d8d968c8eb2,01e4d4d4d4d4d400 |
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 138 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)