Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4B1953FD25806110F5005BA79A213EED38F108CF3B29AE63EF4D06D626E7614975ADB |
|
CONTENT
ssdeep
|
96:pFHlP8A8vf/fi81lVR8Rt8H8D818XIX29EF0f++Tc6P/d9RgsmF99UkLYhHSSIt+:pFFP8A83y8L8Rt8H8D852qSP/TRgz9i5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec669398a88f199e |
|
VISUAL
aHash
|
fce0b0f0d0d8ffff |
|
VISUAL
dHash
|
c4c462439590c195 |
|
VISUAL
wHash
|
f4e00080d0d8ffff |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
c4c462439590c195 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)