Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A2233E1D014ED3B071286D8A7F56B4B7392C749DF071980A3F483ABABD9C60DB1689D |
|
CONTENT
ssdeep
|
192:bqMyr7r/rUrnPRYYYYY++nzYtkJ358iIlWtyVgYyVEYyVdCqzCSDlXuLc2sXBGwA:bqMU3zi5YYYYY++zBJJ1oWtegYeEYedQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9010b6afe9c9c997 |
|
VISUAL
aHash
|
ff000000ffffffff |
|
VISUAL
dHash
|
4bd4d0d12e006020 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
07206000000 |
|
VISUAL
cropResistant
|
0048404c4c500048,8cec8e17863c59c9,c4d823333333ccd4,a2c2fa3636c2fefe,dadadaf2e2e2f8f0,1030606060200020,2ed4d4d0d1d1d02e |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.