Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A63FEB027930ABBA58BC2E6B6546F1DE1D9D34AC5179E49B3F98247AFC3C10ED50360 |
|
CONTENT
ssdeep
|
768:h3V0NrzGNt9Zs+GPTnZwbbQNKhrp+ohCyoxaSrE0X1Xmh2fld1ClthJu/fi0n+mq:XsUgb9eFHV1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a991d62a2d39d696 |
|
VISUAL
aHash
|
ffffffc3818181e2 |
|
VISUAL
dHash
|
b28e0f132b2b0f0e |
|
VISUAL
wHash
|
ffffff8381810080 |
|
VISUAL
colorHash
|
13008000c00 |
|
VISUAL
cropResistant
|
b28e0f132b2b0f0e,331949594d45070f |
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 140 techniques to evade detection by security scanners and make reverse engineering more difficult.