Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADE2B532E05DA93F069BB3E0A735A36A7386838EC943176942FDC74D0BEBD90DD06495 |
|
CONTENT
ssdeep
|
384:pliFII1OIIIII92lBYYSayAlr2lzgP2HCr1CglEiqQPfWpW:ziFIIUIIIIIxayAlrwgP2irQ8qQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3791c1c39e3c6 |
|
VISUAL
aHash
|
00e1f7ff7f3c1818 |
|
VISUAL
dHash
|
87c7cfd3e5e9f0f0 |
|
VISUAL
wHash
|
00e1f7ff7f381810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f363d3cadd988c0c,0002c8fcd4400000,87c7cfd3e5e9f0f0 |
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)