Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CD2A531A004373F136793CAB761F32EA2D7924AEB45051A53F9836D47D7E90EE2352A |
|
CONTENT
ssdeep
|
768:FFSky5NjkcUUCRYNFZcE7fso/O7sOy2+y9BH4crIe:Z9sJTsgO7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342f4389d699d8a |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
dcccc8cacc0c8300 |
|
VISUAL
wHash
|
00f67c600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d8ccccc8cadc0c44 |
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.