Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113C34F709548EC3BB1A7D2D4A2709B4F31D0C345D7478B0197F597AEEACBDA2DE21288 |
|
CONTENT
ssdeep
|
1536:rnEE1+GR1wiYVjX+SzEKF2IIvl2P6WAiY0htD8uNujUzI7zeuNujUzgu2/iC:ryFKIYctD8MuIzPMuIzuv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d962e64939192eb6 |
|
VISUAL
aHash
|
00ff1a18181818ff |
|
VISUAL
dHash
|
418ab032b2b2b28c |
|
VISUAL
wHash
|
80fff718181818ff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
8000908c8c800088,b09ade543a704d5c,88008c8c8cb00080,418ab032b2b2b28c |
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 208 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)