Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4E25134815099274B2718E9B470AF2E79EB830DCF13090A53FC8AD49FE2DD5DD295AE |
|
CONTENT
ssdeep
|
384:L/SgmcI8AxGl3aODWj8IQ83a5Zf29BgA6lE1CX12Fkm/3a/m+gL5erB7jOOMWdU+:rrdv1D/J29iA6SAVm+BnOBWdj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc43b92c33b9349 |
|
VISUAL
aHash
|
ffdbd3f3f3838181 |
|
VISUAL
dHash
|
6b27232363273b2b |
|
VISUAL
wHash
|
ff9391f1f1838181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6b27232363273b2b,7cbc9c7c64ecaea6,7c7f435cd0d3cdc9 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)