Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111E285B0B4908D7A064342D1F7F7E759026DE282DF1008F993ED079B9BA6E5CA79F205 |
|
CONTENT
ssdeep
|
384:qe4o59auxpkj2zXIkCn6wtrlXxKIO2wX+SVo7kgdRhaDgN:h4o59auxpocXIkCMX7MRhsO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c6c738d730c6c6 |
|
VISUAL
aHash
|
fecfdfcfcfc3c3ff |
|
VISUAL
dHash
|
9a9bb59d999e9e42 |
|
VISUAL
wHash
|
4e0b1f878d8183fe |
|
VISUAL
colorHash
|
07602000002 |
|
VISUAL
cropResistant
|
9a9bb59d999e9e42,44b394d0992c8100 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.