Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2D2C63160642A3B13D7C3DAB763732FA293C288CB96481542FD836D4BE6F90CD67566 |
|
CONTENT
ssdeep
|
768:mly5NsNlWinerBwncBH1+KVL7sOy2+y9BH4c1Ie:alHncBH1++L7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d264fc38b943c68e |
|
VISUAL
aHash
|
000024000000ffff |
|
VISUAL
dHash
|
9c8ccccceccccc00 |
|
VISUAL
wHash
|
00c6fe240424ffff |
|
VISUAL
colorHash
|
1a000640200 |
|
VISUAL
cropResistant
|
4880800458988000,9c8ccccccceccccc |
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.