Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157F163B1E054DD33075286D5B7F63B2F7AB6C244CB020A9423F853AE5BCED91CA12999 |
|
CONTENT
ssdeep
|
96:TkvwzYtqOSTDmT98v67Z6RF7wGFMyX1HFeeXXX/JBAhSTtv+AT431:QvwzYtkW58ie7ws5XjAwJp8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837e01fc81fe81f8 |
|
VISUAL
aHash
|
0000ffffffffff3f |
|
VISUAL
dHash
|
48100060208000d0 |
|
VISUAL
wHash
|
00009f9f00ffcf0f |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
48100060208000d0 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.