Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180257DA9B2C1607686DB06E655170600B636D019B049E0E4FFADCCD5AFD2D4AC23FF7A |
|
CONTENT
ssdeep
|
12288:p70lp9dNXZp7zU297Qm3AFajUst63ThldT33804XF/iF+d8Md:p7QBXff/jXt63TNT8zXF/iF++Md |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b339cccc66233399 |
|
VISUAL
aHash
|
ffdbe7e7dbe7ffff |
|
VISUAL
dHash
|
10104c4c100c1000 |
|
VISUAL
wHash
|
1f1f07071b030303 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
10104c4c100c1000 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.