Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4C29F28734910222767A4C1A5F0BE2523E1EB87D5255DED3AACA6640FE2C7FF42F474 |
|
CONTENT
ssdeep
|
384:/fwbL4Usp65+x7/xVyDT8hvY5jahiP3aFBRCyF:/fwvKp65+xdoT8hvY5jahiP3af0yF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c09837e6cc99c7ac |
|
VISUAL
aHash
|
ff1c1c7c78700000 |
|
VISUAL
dHash
|
f8f8f8f0e4c4dce0 |
|
VISUAL
wHash
|
ff3e3e7cfc700000 |
|
VISUAL
colorHash
|
18001000180 |
|
VISUAL
cropResistant
|
c0c1686bf0d0c0f8,874e7cf8d0b0c066,8c2c2ce4c0f0a14c,f0f8f8f0e4c4dce0 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.