Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183F14FE0D404ED3B431285C9F7BA6B0BB691C749CF470A4193F883AB9FDAC60CB16599 |
|
CONTENT
ssdeep
|
96:Tk74nbzD71tDMt8v67McdpytEEhwvFJQeJXCHFdeVX5X/Ryt66fq2J:QcnbzD715Mt8iIGpyHUUKnX5yEaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ace467931a9b1393 |
|
VISUAL
aHash
|
fff3ffdfffffff00 |
|
VISUAL
dHash
|
060626b030400000 |
|
VISUAL
wHash
|
d3c3c3cfd0f0f000 |
|
VISUAL
colorHash
|
07000400038 |
|
VISUAL
cropResistant
|
24062630b4000000,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.