Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149A2763098877A3766A313C1D793872FE6C48244D1078AD9D6FD8B5E5BC6E84EF22315 |
|
CONTENT
ssdeep
|
384:pEprFPhvIKFcuuYeySF2kId/bmOQCCJWx3Dh7qTtAwNb:pUPhvI8Rkj2d1mOQhJeDoFh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e65b19746c4c7493 |
|
VISUAL
aHash
|
00fffff7e7e3ff00 |
|
VISUAL
dHash
|
a6d868aa4c45ccb0 |
|
VISUAL
wHash
|
007e2c300303ff00 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
c4682eaa4c45ccf0,8281a6e2c6a68140,96988a0c29183001,61c9197b3de1e1e2,4cb6320cb2b20c10 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)