Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17031C3505581AC698508C1F4DBA1D68F0B51C376CF431ED042E48FAFA9D6DD5DE922EC |
|
CONTENT
ssdeep
|
24:kp0Ga8OupIbxSvCqM5NpF+pY4GRc3u2xiIBb4IWGBcyN63yG0/JjO8iczpHvOJGC:A0GWup+S69Pb+8RoOIWGBL5jqmaGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f373595c4c664c4c |
|
VISUAL
aHash
|
00ffe7e7ffffff00 |
|
VISUAL
dHash
|
08080c4d00000030 |
|
VISUAL
wHash
|
00e324240f0fdf00 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
4e0c4c0c00080000,0000000000000000,1008303232100000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)