Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142234120A905EC3780CB96D99A72572672F5835AC9230688FAF1C7FD979FC69CB33444 |
|
CONTENT
ssdeep
|
768:34sIx/jjOf+TDNOXGCt2TGPt2TGxQ7Uf7ZF:IsIxPu+TDNOXGCt2TGPt2TGxQU7ZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95766a95a63a68ca |
|
VISUAL
aHash
|
8200002e7f5f0a01 |
|
VISUAL
dHash
|
0686194ad2921a15 |
|
VISUAL
wHash
|
8340003e7f7f1f03 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
0686194ad2921a15 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.