Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC936933421935270537C2D530B95B77E2969E5FFAA70A010EECD7FB2BEACA0745A019 |
|
CONTENT
ssdeep
|
384:AO3/vCJyKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViICuvOGb1PN:MxZ/DFTksPhwfjTOIhIEBa4QjViQ9N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33bc40e33c3932e |
|
VISUAL
aHash
|
ef9fcf878387ffff |
|
VISUAL
dHash
|
0b331c1b2b2ca716 |
|
VISUAL
wHash
|
878b8787818797e6 |
|
VISUAL
colorHash
|
07006000240 |
|
VISUAL
cropResistant
|
0b331c1b2b2ca716,1c2c2c0c1f3599d1,e83a1f5972d2376f |
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 159 techniques to evade detection by security scanners and make reverse engineering more difficult.