Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1182210E1D094DD36076381D9BBF57B6B77B1C384CF020A5413F8536A9BCFDA08A125A9 |
|
CONTENT
ssdeep
|
96:Tkfh/zYh7MSftVST5GsqxhUSPRttb8v67xPR/04cXFDSXHHFbSXZHFg2XOX/wBfm:Qfh/zYhhCFp8/l8iz0SsKXoBftsU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90fc037c887f837c |
|
VISUAL
aHash
|
ffffffffff00007f |
|
VISUAL
dHash
|
220c1c3020a000c0 |
|
VISUAL
wHash
|
ffffc78f0000003f |
|
VISUAL
colorHash
|
070001c0000 |
|
VISUAL
cropResistant
|
2a000c1c1038b440,000000c000d0d0d0,0000000000000000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.