Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173234A72A332B47843DB91EEE7382A06B2D2589DF8C74554F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aj+EsZx8/G8UL4iDaw8MLBQwMMLBOUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:aj+EsZ/8UkiDaw8MLBQwMMLBOUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd1ba24f99a466b8 |
|
VISUAL
aHash
|
000000000830ffff |
|
VISUAL
dHash
|
6b68323330600410 |
|
VISUAL
wHash
|
ff000018183cffff |
|
VISUAL
colorHash
|
3a601000080 |
|
VISUAL
cropResistant
|
00000c0c0c080000,6400600000000000,a368f03131b23060 |
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.