Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1325133A600CC2A4D9B95CCF6C499894159C349FB314CCAB1A491FF7BC4DF069A93AE |
|
CONTENT
ssdeep
|
192:ud5X5mvGS4GugWT3CwxwmMcnthWeNWbDuNfMmUU8VCo+F:WgGS4GugWbcuNfMmUFCo+F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0788f078f078f70 |
|
VISUAL
aHash
|
00c0c2c2c20604ff |
|
VISUAL
dHash
|
bb9a9e9e9ebcfcd8 |
|
VISUAL
wHash
|
01c3c7c7c70606ff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
9a9e9e9e9cfcfcd8,60709ac0717170e0,bb9e9e9e9e9c7cfc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)