Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B235B726332B8B843DB91DEF7382D46B2D2988DE8C74554B1C95A8E23C3C906197BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G8Mkd4cDawHM5BIwPM5BrqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAU:aU+EsZ/8MZcDawHM5BIwPM5BGN2/y9d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4bd0b46791b525 |
|
VISUAL
aHash
|
f9d999f9b1ffffff |
|
VISUAL
dHash
|
c331333b63440100 |
|
VISUAL
wHash
|
f800000031ffffff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
c331333b63440100,670743747f2717ce |
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)