Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194C2227A13A8D83395C7CAE71226F72BB352D145EE062387D6F1AA0F57C2D82DF61118 |
|
CONTENT
ssdeep
|
384:PGNBmYHwsAfZe0rQxFYCexlcengXuihdL5usKCl+OS54800rnF3h:NsAfZe/lzs00DFx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6c7cd6c93309899 |
|
VISUAL
aHash
|
e7e7e7e7e7c3c3ff |
|
VISUAL
dHash
|
0f0e0e4d0c161608 |
|
VISUAL
wHash
|
00e3e3e707030307 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
0f0e0e4d0c161608 |
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 939 techniques to evade detection by security scanners and make reverse engineering more difficult.