Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E36631C6A50337D205438AE7EB3B55629BC1C7CD92BCA8F2A08175DBB9D482C77DA1 |
|
CONTENT
ssdeep
|
3072:U5tKJrjylK2E6IOZuagKI3ImJS2gcIYLQICeIkPksuGIyIhuBn944Bm:2KNQ5IBf3NW4k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e732ed140dcb5534 |
|
VISUAL
aHash
|
ffe6a0a80002fbfb |
|
VISUAL
dHash
|
2b0c4a491ed63293 |
|
VISUAL
wHash
|
ffe0a0a80006fbfb |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
2b0c4a491ed63293,00020c0505050105,25250b437e696f6f,848852c28a03820a,b392cab1b50b6a6e,444262356d8aa9b9,9f8d0d8c8f232260 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.