Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C22B371D04025AF6930EE77FB79BBAAC0CBAB6D48309820C5698F6ED468FD04763457 |
|
CONTENT
ssdeep
|
192:aaC6OWSaQSoGveTyUw+PZbJwcrCwGVMa9kjiofgPmjfnJopIxAf0YNZoHTVRfL2X:3urBk8X6qJ6CYMCXZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a70a5d2255c96677 |
|
VISUAL
aHash
|
0303071f27e7fffe |
|
VISUAL
dHash
|
7f7f6f7b4d4ff242 |
|
VISUAL
wHash
|
0101070f2767fffa |
|
VISUAL
colorHash
|
070000004c8 |
|
VISUAL
cropResistant
|
7f7f6f7b4d4ff242 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.