Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10133552094069C2B06D372E0F5316BAAA5D14349CF130A4992F95FDDFFDADA0CD2D6E4 |
|
CONTENT
ssdeep
|
384:/n1lxiQ/3Y5Kjglu3Y52IvneiM5FoZkkkgVOVJRx3XQ:/Z//R0vneiMR8OVJRNXQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d906f0792712cf1b |
|
VISUAL
aHash
|
00003c3c98d9ddfd |
|
VISUAL
dHash
|
d4a3e8d453331311 |
|
VISUAL
wHash
|
00083c3c98d9dfff |
|
VISUAL
colorHash
|
31001200030 |
|
VISUAL
cropResistant
|
9c175753517bbbbb,494999db656b8cb5,245c5965652bab62,80809098e0e2b3b0,1985600900040100,8e81b09ca492fafc,d4a3e8d453331311 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.