Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA24BC33421935260137C6D430A99B3BD2A6DE4FFAA70A010EECD7FB2BE9C91755611A |
|
CONTENT
ssdeep
|
1536:2z8lfmPeErftsfJPjQBN1WiJx2Cul4/l4Qv8jLenevtRVPB6RSknNUcR3:SrFIqNul4/l4Qv8WnEJ6r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca16e93616c661ed |
|
VISUAL
aHash
|
0000000404fffffb |
|
VISUAL
dHash
|
c8b4e4ecac8c2313 |
|
VISUAL
wHash
|
6600100604ffffff |
|
VISUAL
colorHash
|
1b001000180 |
|
VISUAL
cropResistant
|
828082e26aa28080,808082e26aa28080,8280a2e2d2d28082,c040e0d89a9a40e0,0023333313333313,c8cc24f4ccacac8d,2727632723333332 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.