Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BD3B4D56618138CA057CABDEF2FFE05131FB1AEBA1586802A8EC26895CF8D1F71751C |
|
CONTENT
ssdeep
|
1536:sH0RQ7H87+zjEahzru9UVq4eUkSmAuklFsR8MLqcz8FsR8MLqcMv:O0RQ7H6VaRE4eXSU/m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83b6fc396969092 |
|
VISUAL
aHash
|
81818f8fdfcfd3c3 |
|
VISUAL
dHash
|
23333f3b39171717 |
|
VISUAL
wHash
|
8181878fcfc7c3c3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
23333f3b39171717,045a707171690c12 |
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 98 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)