Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D392CC37B088C22A4E9B50EDEB9DB76A655DD149F331848258F9813FAB81DEC382075D |
|
CONTENT
ssdeep
|
384:McpwKUgWpoR1UwQ5ABUw8wX7z6UJSU0NdUDqcOrWUh+9aUJf4UzBgLwfMmUFCooa:MLKUgWponUwQ5ABUw8e7uUJSU0NdUDqt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
975ec4d053731f0c |
|
VISUAL
aHash
|
fc3f0f070f0f7f7f |
|
VISUAL
dHash
|
cc707c4cfcccdccc |
|
VISUAL
wHash
|
441f0f0707073f3f |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
cc707c4cfcccdccc,45452bd8c42b5521 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.