Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E633DF83C51F221AAB352D710DF29123379151B6C0D4A60A754FF8AA9B445BB06BFCE |
|
CONTENT
ssdeep
|
768:+lfYjKYjjOare5OAyscZsRUqGYmZiL1tVb63mkBGf163BQvGf163KI0Gf163WOPU:csMKpz3FABFex1+QE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2c03e3e8f9e3a29 |
|
VISUAL
aHash
|
ff7e7c7e20000000 |
|
VISUAL
dHash
|
45d4d8c0c0040000 |
|
VISUAL
wHash
|
ff7e7e7e7e000000 |
|
VISUAL
colorHash
|
3101e000000 |
|
VISUAL
cropResistant
|
45d4d8c0c0040000 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.