Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6F2C632D016B83F06ABB3D1A7B4A36D22D54389DA43462543FD878D4FEBCD0EE42499 |
|
CONTENT
ssdeep
|
384:mEMII0sIIIII9zlB9F7tIH+JTLbYgjd2DoWngwqmO1ggHlpW:NMIIvIIIIIp+ETL0K0D5MqIy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3791c1839e696 |
|
VISUAL
aHash
|
00e3e7ff3f3c1818 |
|
VISUAL
dHash
|
87cfcfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000606860440000,87cfcfdbe5e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)