Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108235B726722B4A843DB91DEFB383D56B2C2588DF8C74510F5C95A8E23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:a/+EsZx8/G8o41DawcMqB8wpMqBVwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:a/+EsZ/8b1DawcMqB8wpMqBVwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebd0d18587b5d0c5 |
|
VISUAL
aHash
|
fd81818181818181 |
|
VISUAL
dHash
|
7171514541714549 |
|
VISUAL
wHash
|
ffb99981b1b98181 |
|
VISUAL
colorHash
|
31006200000 |
|
VISUAL
cropResistant
|
7171514541714549,307010c8c4d093cc |
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.