Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DB1BA305700963EAB134BC5E3517219719FC1ACFFA60A9187AF53FD66E3C80D86B606 |
|
CONTENT
ssdeep
|
96:z4IDrd8EyDF/d3Iy1jvF8kG18QzZWxXvF5A5WgmZFr:zrad3I6jvFGhWT5AWRFr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d90d646623de8e33 |
|
VISUAL
aHash
|
00183c3c3c3c3800 |
|
VISUAL
dHash
|
0430303068302004 |
|
VISUAL
wHash
|
00383c3cbcfcfcf0 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
0430303068302004 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.