Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9235B726332B4B843DF91EEE7382A45B2D2989DF8C74594B1C95ACE13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G8W74vDawxM5B/wdM5BiwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvla:aw+EsZ/8WUvDawxM5B/wdM5BiweN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbc1e49495e5c591 |
|
VISUAL
aHash
|
8381a1818d818181 |
|
VISUAL
dHash
|
4359495159555555 |
|
VISUAL
wHash
|
ff81fd898f8181a1 |
|
VISUAL
colorHash
|
07003000600 |
|
VISUAL
cropResistant
|
4359495159555555,33d8c890b8b292d6 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)