Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162234A726332B87843DB91EEE7382D16B2D2589DF8CB4414F5C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8h4zDawCMLBHwbMLBhwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aQ+EsZ/8SzDawCMLBHwbMLBhwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3b2e2eb39184c4 |
|
VISUAL
aHash
|
0000ffffe7ffffff |
|
VISUAL
dHash
|
71714d4d4d000800 |
|
VISUAL
wHash
|
00002424a5ffffff |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
71714d4d4d000800,100c323228320c10 |
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.