Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E73857202426A3F149342D59B5CE35FD382D609D7E34A669BE8432F2BC7DE0ED3A164 |
|
CONTENT
ssdeep
|
1536:uM2LzujDcfZ0K4B1a4WyE03oGylL3F0SxVuz84l:PbTZeLahl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2502cbe96d6b6b8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236296,84cbf193c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,09d569abaaaa5202 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)