Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3234A726332B8B843DB91DEE7382E56B2C2988DF8C74554B1C99ACD13C3C912197BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G84K4BDawDM5B/w1M5BkqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAzY:aq+EsZ/84NBDawDM5B/w1M5B9N2/y9d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3a91e466c0e365 |
|
VISUAL
aHash
|
ff81818181f7ffff |
|
VISUAL
dHash
|
5d79713555150015 |
|
VISUAL
wHash
|
fd8101818181ffff |
|
VISUAL
colorHash
|
0fc10000000 |
|
VISUAL
cropResistant
|
5d79713555150015,636ac6d2e4bcd879,8bc3703e69f0baaa,a282c44b1355a2a2,a2a2ee3313a6a2d0,021d0d1d1d0dbd80,b83cbbf17136d616 |
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)