Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9C2B632A004263F119393C97322FB1DA2E792C9DA4A0D0943FD875D8BE7D90DE2356E |
|
CONTENT
ssdeep
|
384:o2e/y5NY+1Hp2wnjtMq2/+gGn71EKfFwnY6whl3KLFIYsOy2+y9BH4cCUIe:o2e/y5NY+1HP71nlq7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c766b8389c4cc793 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
144ccce6ccccc300 |
|
VISUAL
wHash
|
00f6f6700400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6e6ccccc3 |
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.