Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EC2D7F3A208657A02E38292B701BB0AF191954FCB651D95F2FD825F57E3E10DC7229E |
|
CONTENT
ssdeep
|
384:WEDuTOsFRTyIT6Ffr/gTov1AyZjnBPj2mb:nDMRT16Fjpv1bZjn/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b00bcf2d345331de |
|
VISUAL
aHash
|
00ffcfc3c3c3ffff |
|
VISUAL
dHash
|
26321e9e96963636 |
|
VISUAL
wHash
|
00c3c7c3c3c3c7de |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
26321e9e96963636,9fbef3b37ffd7cf0 |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.