Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109228373A600DD2A8EA756CCF6C09589451DC349FB3048CAB1A091FF7BC4DF069A979E |
|
CONTENT
ssdeep
|
192:CYdJzzqTvf6d5bxMq/x2gMcnthWeNWbufMmUU8VCoD:1Jfq+MAfMmUFCoD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cdc6c7cecc30 |
|
VISUAL
aHash
|
e7c7c7e7c7fffffe |
|
VISUAL
dHash
|
0c1c1c0c0c000000 |
|
VISUAL
wHash
|
07070707073f3f3e |
|
VISUAL
colorHash
|
07000e00040 |
|
VISUAL
cropResistant
|
0c1c1c0c0c000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.