Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4234A726732B4B843DB91DEF7382909B2D2989DF8C74554F1C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G85s4eDaw+M5BSwVM5BBqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAzY:aM+EsZ/853eDaw+M5BSwVM5BMN2/y9d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926ced5a9264ed83 |
|
VISUAL
aHash
|
fb0000040c00ffff |
|
VISUAL
dHash
|
2338868c8988ca00 |
|
VISUAL
wHash
|
ff0040466c00ffff |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
08000c0c0d000303,1fdfceaee6ced060,ca8a800000000000,2328828c8c8888ca |
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.