Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105234B726332B8B843DB92EEE7382945B2D6989DF8C74550F1C55ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8mhWDVSfMLBAScMLBc3Uuix+y9dQpUDF1E56ITmHx3naOhqePqDvrE:af+EsZ/8mcDVSfMLBAScMLBc3Uxx+y9V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9111ee469a68eebc |
|
VISUAL
aHash
|
000a0a0b0e00ffff |
|
VISUAL
dHash
|
9a9a9a9a9aca8a00 |
|
VISUAL
wHash
|
0e0e0b0f0e00ffff |
|
VISUAL
colorHash
|
33c00400000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,f9e9e989c09292a4,7430383c3cbc9cad,0000000000000000,9a9a9a9a9a9aca8a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)