Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F90230E0D011ED77471385D8A7FA6B0B7791C359CF070A4093F883ABABCAC60CB25599 |
|
CONTENT
ssdeep
|
192:QnZzeSe8i2vyYMuzW1pIb3QX4y4AHSszmZi:QVNe12vLMuzWPsLLAHSFZi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e76398649898679b |
|
VISUAL
aHash
|
ffe1e1e1e1e1ffff |
|
VISUAL
dHash
|
804b0b4b4bcf8780 |
|
VISUAL
wHash
|
7f210121a1e1e1ff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
804b0b4b4bcf8780,edb3f170fbfdffff |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)