Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE13E73175D18A3FA58387F5B360BB5A7798C309C153A35A92EDC3792BCBC51DC682A0 |
|
CONTENT
ssdeep
|
768:wsqPebhIJCMUjB86+BiqUNlqCuOW1Qkp1QkS1Qkm1QkKPdxjjF+37S:ws2ebhOCMUjBwVU8OZkcktkpkErs3u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49a9b6464659a4f |
|
VISUAL
aHash
|
02ffffc3c3c3c3ff |
|
VISUAL
dHash
|
969e9c8686968696 |
|
VISUAL
wHash
|
00c7dfc3c3c3c3c3 |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
9e9e9e868696869e,0000001010000000,5446666a62544c08 |
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.