Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB436130B889AD3B02CF56D466336B66A3E18305C6530684FAF8C3A64BDFD5CDA77164 |
|
CONTENT
ssdeep
|
384:8Hg2Za+/vsJO5xVZjqTSb2xEND8X+mumZidgowuJdroJdx0dB7roUa878nft:fBasIx/jj2xf+lXqp4BYUf74F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
929fe9b8c6d1aa88 |
|
VISUAL
aHash
|
ff00040404040020 |
|
VISUAL
dHash
|
21f8ecacbd9c8aeb |
|
VISUAL
wHash
|
ff0c1c5e5ed64460 |
|
VISUAL
colorHash
|
11400018001 |
|
VISUAL
cropResistant
|
3031042123236104,ec6c6aaab0d4d4e3,d8f8acbc9d9c8aeb |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.