Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1234B726722B8A843DB91EEF7382D55B2D2588DF8CB4410F5C95ACE23C3C916197BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G844yDawQMSB0ow6MSB0BwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:aJ+EsZ/8ryDawQMSBVw6MSBAw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8af2f0f6e4e0c293 |
|
VISUAL
aHash
|
ff003c00183c0000 |
|
VISUAL
dHash
|
0f71697161697171 |
|
VISUAL
wHash
|
ff81bd9999bd1100 |
|
VISUAL
colorHash
|
38007000080 |
|
VISUAL
cropResistant
|
0f71697161697171,b6e8e8b0e068f0b0 |
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.