Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15432D8678084643362135AC678D7A70952F39B7BCA406C94E2ED02FF07C5ED9B8B7B46 |
|
CONTENT
ssdeep
|
192:OkM8iTUrQ5C7vm59Rug6YU//toBSN3rfZG:CTgP7vm2g6LthN3rfZG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a7825a7789c9e98 |
|
VISUAL
aHash
|
00001c1c0c7f7f1f |
|
VISUAL
dHash
|
5b18393179ececea |
|
VISUAL
wHash
|
00009c9c1c7fff3f |
|
VISUAL
colorHash
|
030000000b0 |
|
VISUAL
cropResistant
|
8232b2b08a31318a,5391a15936369ba2,b1a9e9d6ddde5276,c808c6e6e6c608c8,5b18393179ececea |
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 236 techniques to evade detection by security scanners and make reverse engineering more difficult.