Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EC2B7329110273B12A7D3C9B362F71D92E3834DDA85181A53FD876E1BE7E41ED2352A |
|
CONTENT
ssdeep
|
768:GSXy5Nzre4D6U1Uu3CleCoabDc7sOy2+y9BH4crIe:sre4D6U1VScCoAc7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d0698582 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c4dc3c3ec4ce600 |
|
VISUAL
wHash
|
80f571300c04ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c0dc3c3e3cccce6 |
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.