Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18252B52070D8452F5B5657ECF4B7AB3E299341FDDA210C09B2BE8D57CFF2A04982586E |
|
CONTENT
ssdeep
|
192:urV6+Xo3bWviCVCie14126Ke70hztwSSEJh4aVeIIEE:urV6bWv6p1Q26KeghZwSSEJmC3E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e48bcb646f994c31 |
|
VISUAL
aHash
|
fbe7efe7c3c3c7ff |
|
VISUAL
dHash
|
2b0c1c0e8e861e04 |
|
VISUAL
wHash
|
81c7c3c3c3c3c3c7 |
|
VISUAL
colorHash
|
07c81000000 |
|
VISUAL
cropResistant
|
2b0c1c0e8e861e04,696b6bd49292dacc |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)