Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195234A726332B47843DB91EEF7382946B2D2989DF9C74554B1C95ACD23C3C902197BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8kpjk41Daw0M5BFw6M5BwwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqD4:af+EsZ/8kx1Daw0M5BFw6M5BwweN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba93956cc46cc569 |
|
VISUAL
aHash
|
ff8d8981818181ff |
|
VISUAL
dHash
|
1d191b152923333b |
|
VISUAL
wHash
|
ff8f8981818181ff |
|
VISUAL
colorHash
|
1bc00018000 |
|
VISUAL
cropResistant
|
1d191b152923333b,181a9a162923253d |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)