Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196A3FA7041842517C213D391DE61EBDA21FBE39DD6B32000E6F883D7ABF9DD69C2A196 |
|
CONTENT
ssdeep
|
1536:ApiqzRcD844g4gXleQ3xQGqpvA/jA2HNUXGq3Sw5dp6dD1WqLD6b6u7jO8cJISj6:taF7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76c3b3897a4a361 |
|
VISUAL
aHash
|
00b87c3e2020183c |
|
VISUAL
dHash
|
7460c0e2c1caf049 |
|
VISUAL
wHash
|
9ab87c7f3828183e |
|
VISUAL
colorHash
|
38001200180 |
|
VISUAL
cropResistant
|
d0dad252923a9c9c,7460c0e2c1caf049 |
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 120 techniques to evade detection by security scanners and make reverse engineering more difficult.