Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F235B726332B8A843DB91EEB7382D56B2D2589DF8C74450F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aP+EsZx8/G8u4hDawdMIBnwvMIBVUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:aP+EsZ/8ZhDawdMIBnwvMIBVUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6b3636626a2925 |
|
VISUAL
aHash
|
008bc9f9fdffffff |
|
VISUAL
dHash
|
453b1b1929161100 |
|
VISUAL
wHash
|
00818181c1bfffff |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
453b1b1929161100,0106661232668001,353a7b313467e305 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.