Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1235A726332B87883DB91EEF7392906B2D6589DB8C74550F1C99A8D23C3CC16197BB4 |
|
CONTENT
ssdeep
|
768:aT+EsZx8/G8/Syhm4jDawyMJBGowLMJBGkwZUcix+y9dQpUDF1E56ITmHDLBABWo:aT+EsZ/8DBjDawyMJB7wLMJB9wZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab4b56b1a0bf087 |
|
VISUAL
aHash
|
fffffd1898f9393d |
|
VISUAL
dHash
|
0986313979196969 |
|
VISUAL
wHash
|
fff9f9080808393d |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0986313979196969,2f5747575f321b87,41453bd8c4e65545 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)