Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E81FB3161484E7B418BD3D807A0EB5EB3CAC2A2DE1B620993F1C74E8FD7D80CD19566 |
|
CONTENT
ssdeep
|
48:T7Jw27twTNmTNMeOcC16+w7WZPc76yGAPRXn4LUGg32rVlokFMltJC7NuoOt27CD:HCOCb8kq76GP0UGXfMlC7wtCC7gagwUs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9e2668c23d99999 |
|
VISUAL
aHash
|
4040181818181800 |
|
VISUAL
dHash
|
8090b2b2b2323230 |
|
VISUAL
wHash
|
f0f8f8f8d8d89818 |
|
VISUAL
colorHash
|
01000038000 |
|
VISUAL
cropResistant
|
edecf0f0f0e0e0e0,b2b2aab8acb03386,8090b2b2b2323230 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.