Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCC2B63172002A3B02D7D2DDB362A31EE2A79749D64A0855D1FD83AD1FD7D58DE2312B |
|
CONTENT
ssdeep
|
768:CScy5NqD31Ual7whljk7sOy2+y9BH4cLIe:slpgw7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b43ad529d3e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c6c2c0c9f100 |
|
VISUAL
wHash
|
00fff0300014ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948cc6c2c0c0cdf1 |
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.