Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB1316851414E7B64D3C5E0B772AB7BA1C4C359DA2BD34A03F9436A6FC7C84DC46620 |
|
CONTENT
ssdeep
|
96:NxHGK2M9aO0twzVaWfUBz/ta+PXFKvfaQbIzXehm/l:NJGfaaO0ORaoUNVasKPb3hmt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff7f5d50082aa2a2 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
31b24d5100000000 |
|
VISUAL
wHash
|
000000ff0f0f0f0f |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
8c45310800000000,4040004000303210,0810101030100000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.