Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E234B726722B8A843DB91EEF7383D56B2D1489DF8CB4510B5C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ahhE++EsZx8/G8G4HDaw2MSBkwpMSB9wZqN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:ahhE++EsZ/8hHDaw2MSBkwpMSB9w0N2a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
facdcc30b3338c64 |
|
VISUAL
aHash
|
ffe1f9c5c5cd8181 |
|
VISUAL
dHash
|
090161090d191d0d |
|
VISUAL
wHash
|
fff1e1c5c18d8181 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
090161090d191d0d |
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.