Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4C28575A100373B0597A3CA7311F31F93A3D289DB4A081952F9875D8BE7E94DE2392B |
|
CONTENT
ssdeep
|
768:0Oe/y5NO5itQqLLu0/fT47sOy2+y9BH4crIe:nQq20U7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767f83a990cc683 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
0c4cc4c2cccde300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,840ccce6cacccde3 |
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.