Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F33E763431C25BB18574AC4D608232FB55640CDDB0F62E5F1E9D3A823EAEE179B26C7 |
|
CONTENT
ssdeep
|
1536:Hx1HxzU7OJoTa+kGyTn6EXpI//64GylzweYx79BI:HrHzLp06eSI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac6cc763139339c3 |
|
VISUAL
aHash
|
00c3c3c3c3c3ffff |
|
VISUAL
dHash
|
0323273f2b2b2723 |
|
VISUAL
wHash
|
0083c3838383ffff |
|
VISUAL
colorHash
|
1e000600030 |
|
VISUAL
cropResistant
|
2323372f2f2b0f23,0b2323373f2b2f2b,09d0d4f0f0f80641 |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.