Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CF107F69220861E4482D0A8FF23F4D0D24DD05FE296DAE0D7AE87B444E7CE4F657890 |
|
CONTENT
ssdeep
|
192:bgE8BQhbtw3O+NZZOZHjywAcQSyUZxBcFL/W:0E8BQhbiZOd2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8407863733bd5ae |
|
VISUAL
aHash
|
0000ffffffff83ff |
|
VISUAL
dHash
|
82b29690c8575725 |
|
VISUAL
wHash
|
0000fbffffff0100 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b29619c6c8577725,008292929200b2b2,6527232727254d4d,1151656565656b4b,aaaa696d6d2d2596,72525b4b4b5d7d60,b6b6a7b5b4a4b3b3 |
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.