Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CE2B932D009793F02A762D1BB71A35AB3864389D983072A42FDC79D5FEBC60ED17469 |
|
CONTENT
ssdeep
|
384:BEGIIsWIIIII9klBqaQ1wYEkvgcAPjAKdHK+c+9fi0pW:WGIIHIIIII/T8/dq+Rc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d0c9c396396 |
|
VISUAL
aHash
|
00e3e7ef7f381818 |
|
VISUAL
dHash
|
8fcfcfdbe5e3f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3d3d2ec9c988c8c,0000616969000000,8fcfcfdbe5e3f0f0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)