Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A220E223444752747D353DDAA31B39DE393818ADE2A0E4262E58B0F9FD7E41CD2296F |
|
CONTENT
ssdeep
|
96:bW5Li4DXRapN5UK17Wy4BNM04DJP4T4likBw0AYIyp+qSAYIwAYIbjpRNfM8ntH:SU6XMNpjwyJp+qwpgfNfMO1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e61919dc664c59 |
|
VISUAL
aHash
|
ffffe7e7ff000000 |
|
VISUAL
dHash
|
cc084d0c0c3030b2 |
|
VISUAL
wHash
|
66ffe7e7ff000000 |
|
VISUAL
colorHash
|
1e001000280 |
|
VISUAL
cropResistant
|
080c0c4d4d4d4d00,000204ccc8d40000,743c86c6a2816953,b03030103030b2b2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.