Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0234A726332B87843DB91EEF7382946B2D54899F8C74454F5C99ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a0+EsZx8/G8Z4aDaw6MJBawLMJBKwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:a0+EsZ/8aaDaw6MJBawLMJBKwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f2fc0d0d0c162 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
713179160f000000 |
|
VISUAL
wHash
|
000000c3c3ffffff |
|
VISUAL
colorHash
|
0f010000c00 |
|
VISUAL
cropResistant
|
713179160f000000,cdb3f3b3b369f99f |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.