Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB234B726332B8B843DB91EEB7382D55B2D2589DF8C74554F1C95A8E23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:ar+EsZx8/G8Y4DDawDoM5BFwAM5B+qN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAzY:ar+EsZ/8LDDaw8M5BFwAM5BHN2/y9dGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffb995b0858185a5 |
|
VISUAL
aHash
|
bd80818181818181 |
|
VISUAL
dHash
|
51314d6145554565 |
|
VISUAL
wHash
|
ff81a1b981b181bd |
|
VISUAL
colorHash
|
31003018000 |
|
VISUAL
cropResistant
|
51314d6145554565,3133c8d181a1c1c4 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.