Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16ED4F8241761157AA06347D8E3263DB9B372E3ADD706C008BABD26616BE7CF4BC674D0 |
|
CONTENT
ssdeep
|
1536:3rbs5alhPalhenDTDMoKLyvMrieZwUlW1pEozgo1BVAxNMBVAxNsBVAxN1BVAxN8:bIghKhenDTDw/wUl4uogoy67/5uP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93e16cc631d39a6c |
|
VISUAL
aHash
|
003c3c3c3c3c3c00 |
|
VISUAL
dHash
|
1761f8d97871793e |
|
VISUAL
wHash
|
003c7e7e7e7e3c00 |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
e25a1a1adc7a30b0,1761f8d97871793e |
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 2073 techniques to evade detection by security scanners and make reverse engineering more difficult.