Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5834CF0B640F82205B781E2B05FA985B3BF101FE5190DA0764CCEEF72E6426917B59D |
|
CONTENT
ssdeep
|
1536:1i3bD1R5p6W13Y5njYHVwlgXXy1zQ2N0msQw:1gXyvVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b269cd6d399a92 |
|
VISUAL
aHash
|
003e2c047e3c243c |
|
VISUAL
dHash
|
94ccccc8cce8d4f0 |
|
VISUAL
wHash
|
0e7e3c047e3c3c3c |
|
VISUAL
colorHash
|
30200010000 |
|
VISUAL
cropResistant
|
8382a6e4e9c2e080,e0f4c6cbd2a68d79,3c362e4f24d4cc25,eaccdd7a392a6a7a,d2e9ccccccc94a52,94ccccc8cce8d4f0 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.