Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA43A134B081773F21D3C3F6A7A61B1BB1D58359C7276E6693F887A40BE6C52EC12258 |
|
CONTENT
ssdeep
|
768:50ajT5sgsMSwwJcVhOIT60tmJcCidGaLCQ6HEA3WlEVx8JBSBvB5J:95sgsMp+IT60FGHn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6ed9b333329036 |
|
VISUAL
aHash
|
38381800007f183c |
|
VISUAL
dHash
|
e272b2a694d071f0 |
|
VISUAL
wHash
|
7e381810c3ff3c3c |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
474faccdedd5dbaa,092f4d4db2bac24e,33b2cc2b2bca8a8e,e272b2a694d071f0 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.