Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14203C731A112342B022786D1F8A67B0D3383529DD90310B1B6FD67E5AFEED94789763E |
|
CONTENT
ssdeep
|
768:MYcKithk9gjdl8aTa6Lpg7w00fVeM5OG7FdvV+azRVlC:MY+thk9gjdl8aTa6Lpg7w00f4M5OG7FI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea689197b3c948b6 |
|
VISUAL
aHash
|
89f1f0f1e73f3f7f |
|
VISUAL
dHash
|
3b1391030c51c0d0 |
|
VISUAL
wHash
|
09f0f0f1000f3f7f |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
3b1391030c51c0d0,2e7656565652d266,79e1e4b072e0b2cd |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.