Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16122B6A2D894DD335B5384D6A7F76B1F7279C344DB01096462F893BA23DECA0C712D89 |
|
CONTENT
ssdeep
|
192:QPNNRbbYbnzYt3Nnt8i0jgFxVGU5Dkwm9DXDqe2zIyMr/8F:QPN/bbYbzcNnt10sFxMEwwm9ezIyi8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df837608de837628 |
|
VISUAL
aHash
|
813e007e3c0c0080 |
|
VISUAL
dHash
|
01e046f0f068c220 |
|
VISUAL
wHash
|
ff3fe37e183c0080 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8c8b65635454a1ac,34318b6558d2ea4d,01e046f0f068c220 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.