Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAC21CF1D191EA3B475781D6A7327B5F3691C348CF470A0893F483AA6BCACA0CE2159D |
|
CONTENT
ssdeep
|
768:Eq12Vwwn4yIPM4rw9eZIoxjLZ080j7p/cGx4azF:Eq12VwTSTuB0jT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b146b8ba80e7c7b8 |
|
VISUAL
aHash
|
e7002020ffefcfcf |
|
VISUAL
dHash
|
488e4242180e1e9e |
|
VISUAL
wHash
|
e4002000ffefcfcf |
|
VISUAL
colorHash
|
06017000000 |
|
VISUAL
cropResistant
|
000c4d4d8c004848,424242180e9e1a9e,82a280a2a2808414,248080a2a280a020,ca8c9e4242424242,a880e0e0f0f0f070 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.