Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115235CB26732B4B843DB91DEE7382D45B2D2588DF9C74554B1C99ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:a4Qw+EsZx8/G8MG4QADawKM5Beow/M5BeLqN2/y9dGDUDF1E56ITmH+LXPnTyPq1:a4Qw+EsZ/8MhQADawKM5BTw/M5BpN2/V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d4d4d63710000 |
|
VISUAL
wHash
|
ff0181810181ffff |
|
VISUAL
colorHash
|
07230008000 |
|
VISUAL
cropResistant
|
4d4d4d4d63710000,cc8c4c4cbabef260,40d0d29aabc2c2c4,ecf1f151754c8806,fffff7f5d6fedfdf |
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)