Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170B27432A4816B3745B743C1E761E71BF2C4AA80E51A8F8467F5C38DC6DAED8D8317A4 |
|
CONTENT
ssdeep
|
384:qClcwW6zLRBf4/e/ACBharPbsxJzf4L3vuitaGxLlh:pzLzQ/elbzgzXZh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c99c2223b3a32dbb |
|
VISUAL
aHash
|
0918183c38003c00 |
|
VISUAL
dHash
|
31b0f0f0f0d2c8d4 |
|
VISUAL
wHash
|
9d3c3c3c3c387c64 |
|
VISUAL
colorHash
|
30401000080 |
|
VISUAL
cropResistant
|
61cc8eb22b16d4f0,31b0f0f0f0d2c8d4 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.