Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8E2A631A016683F06ABA3D1EB76A35A73DA4389DD43072642FDCB4D4FDBC44EE12499 |
|
CONTENT
ssdeep
|
384:6frRzlEIItB+RAmIIIII9Y7lBNwDPB+Np+uhmCvd2+ibpW:1IIOIIIII5DB+NIcPCY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3733c1c19c3c6 |
|
VISUAL
aHash
|
00e7ffff3f181810 |
|
VISUAL
dHash
|
87cdcbb3e5f1f0e0 |
|
VISUAL
wHash
|
00e5ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
a7e6e6c4cc989819,0000607070400000,87cdcbb3e5f1f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)