Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DC2A5B1A544091F2312D2C9F5739FCE2187810ACB530849A5F9126FBBDE9F8DCBB259 |
|
CONTENT
ssdeep
|
768:z/D/9wQ5efgJ3A8bg2T4kDPTypAs6s6s6Y5r5dfPtovcgTh:bJ3fXXX26 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c334c775c4c5c |
|
VISUAL
aHash
|
00e7ffe7e7ffe7e7 |
|
VISUAL
dHash
|
4d0c104d0c004d4d |
|
VISUAL
wHash
|
00a72727273f0707 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
4d0c124d0c004d4d,0000404040404000,9c71f1e979f13b94,000830b2b2320c20,9859667b6bf7ff7f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.