Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9234AB26732B86843DB91EEF7382956B2D6489DF8C74410F5C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aR+EsZx8/G8y41DawjMJBbwbMJBBUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:aR+EsZ/8F1DawjMJBbwbMJBBUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3f2fc0d190c166 |
|
VISUAL
aHash
|
010081ffffffffff |
|
VISUAL
dHash
|
757179300f1f212b |
|
VISUAL
wHash
|
000000dfc3ffffe3 |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
757179300f1f212b,ffcfb3b269f1b3ef |
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.