Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160C29831B1106A3B41D7D2C9B362A31EE2E39349EF46091991FDC39D4BD7D64CE2352A |
|
CONTENT
ssdeep
|
768:WKScy5NDnxvG0BuSbkewuzm0hL7sOy2+y9BH4crIe:KuChL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c264f43ad529d3c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c6c2c8cdf300 |
|
VISUAL
wHash
|
00fff0003404ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,9484c6c2c0cccdf3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.