Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124A37A33411935274437C6D530A55B3BD2A79A4FFEA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:0Sjy5NlVTLz4NP3+mZY9svblTOCVrzUsrMFtiuCa28y2OZL:0TLz4NP/y9svbliCd1QFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc32e93c9069 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8cccc4e8c8dc3cb2 |
|
VISUAL
wHash
|
c0fefe30640e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55619e9e515596,008081303000a000,9cccc4c8c8cc2c30 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.