Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BD2A531A116A83F06ABB3D1EB75A35A72D6838DD943072742FDC78D4BDBC40EE12499 |
|
CONTENT
ssdeep
|
384:6uGQxLIIt8+RAmIIIII9KlBN4H8BHNRsBkbQvDkfibpW:UOLIIfIIIIIxcBHNWqsIKY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e3791c1c3963d6 |
|
VISUAL
aHash
|
00e3e7ff7f3c1818 |
|
VISUAL
dHash
|
97cfcb93e5e0f0f0 |
|
VISUAL
wHash
|
00e3e7ff7f381810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c0c,0000607070400000,97cfcb93e5e0f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)