Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10721F341040AB43F541791E8AEB2365235D987C0CB57164131F8D7BE1BEED9CCD126AC |
|
CONTENT
ssdeep
|
24:hRrMGspMPB7aSJGJPw8SYuThcwCmXCWCJTub/XN5aNLNS5R:Tw1pIBjINehcVn1AfnaN5Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999736666646666 |
|
VISUAL
aHash
|
183c181800000000 |
|
VISUAL
dHash
|
10b232320c100000 |
|
VISUAL
wHash
|
3b3f3b3b00000000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
80a280dada90a2a0,54cccd1913d0d8d0,01a2808e8e80a209,10b232320c100000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.