Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19221333270045C3E2523C7D9B7D5BB2226B5D194D61F110076DDC7A94FC9D55FC67284 |
|
CONTENT
ssdeep
|
24:hR/Y9s62K5RhMZrUlNdjojhllUYllbdUqQ+v1v275M4P38X:Tws62kgwzmlbdx1v2zkX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f17070f0f |
|
VISUAL
aHash
|
3f0f1f871e9fbf1f |
|
VISUAL
dHash
|
6072382a3032633b |
|
VISUAL
wHash
|
000f7f841e9e9f0f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
6072382a3032633b |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.