Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E0284335104911E5FA3424DFAD2E1DCA766C656F73049C6B1EC802FA7C1DE4C8B6B6A |
|
CONTENT
ssdeep
|
192:whSkgv9R40CSRU7NK6eyetx88BfMmUU8VCoNv:vv9GnSRUhKPnBfMmUFCoNv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b22467317764578b |
|
VISUAL
aHash
|
c3c3ffcfcfcfe7e7 |
|
VISUAL
dHash
|
861e1e1c1c1e0e4c |
|
VISUAL
wHash
|
c0c0c0c0c3c3c3e6 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
861e1e1c1c1e0e4c,0101215b5b2a0101 |
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.