Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEE32BEC2B204ED415C683F5FF2156D8B71BE1B9CA468E48C2BC8B5836D1C7CDD1AA91 |
|
CONTENT
ssdeep
|
1536:NXQruwNzgdy0B16GONrgp3dd0AX5I8SzGVuNyF1buqhAS3IWCs6pt/ECOW5I8SzB:NXQJqkJEpQTexf9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4ce4f65269c3333 |
|
VISUAL
aHash
|
fff7ffffc3c3c3c3 |
|
VISUAL
dHash
|
67060e328e16160e |
|
VISUAL
wHash
|
b1c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07006008000 |
|
VISUAL
cropResistant
|
67060e328e16160e,a280a2e2e2a280a2,8280a2e2e2a28082,a280a2c2d2a280a2,a28082b2f2828082,00100c4d4c300800,69e2a2a2aab2aa8e |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.