Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E234B726322B8A883DB91EEF73C3D46B2D55889F8C74450F5C86A8E13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aCILT+EsZx8/G8aRF4KDat0M7BytjM7BC7Ucix+y9dQpUDF1E56ITmHDLBABW8KB:aH+EsZ/8sOKDat0M7BytjM7BC7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6765256064e0b5 |
|
VISUAL
aHash
|
838f9f979f8f8f9f |
|
VISUAL
dHash
|
4f796b6d7d7f7f7b |
|
VISUAL
wHash
|
819f97878783838f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4f796b6d7d7f7f7b |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.