Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18023C72FF144373F0A9302D9FB25A3EBF37EE05486420B1695B5C29C17E5D199A3A4E2 |
|
CONTENT
ssdeep
|
768:2pZHXahW1vtTS1GH9uyjkkdXptoBfwXNTJLvRSiBzLJPkUasPFThC7+zbOHhVohP:2pZqhW1vtG1HUkkVs4ristRHN7t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89ab2389ab23cbcd |
|
VISUAL
aHash
|
8100180018180000 |
|
VISUAL
dHash
|
01883110b2320c10 |
|
VISUAL
wHash
|
ef2f1818d8d8c0ec |
|
VISUAL
colorHash
|
38002000007 |
|
VISUAL
cropResistant
|
a200100c4d0c0088,01883110b2320c10 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.