Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120234B726722B4B883DB91EEFB3C3D46B2D1588DE8C74454B5C95A8E13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a1+EsZx8/G84RF46DawoMSBBw6MSBEqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAf:a1+EsZ/8SO6DawoMSBBw6MSBdN2/y9dG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf9d95c0c4f590c1 |
|
VISUAL
aHash
|
8d81818181818181 |
|
VISUAL
dHash
|
696971554d5d4d55 |
|
VISUAL
wHash
|
ff999981818581bf |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
696971554d5d4d55,69f1b3cfccbccfd4 |
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.