Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3F2E8BA1314FEBE261302F7A319B3DDE05AFA0BB4AF6A18EBD14F335240D15443A519 |
|
CONTENT
ssdeep
|
768:IMXiZdHmpdE7+4Lg92T7SH0o3f8b8nloHn/ahEB:LgGnE7+yYGkBnlO/ahEB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac6c671313135f1e |
|
VISUAL
aHash
|
00d393ffdfffffff |
|
VISUAL
dHash
|
0436363538e8e8a8 |
|
VISUAL
wHash
|
008393df067e7e5a |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
0436363538e8e8a8,00004a6069696044 |
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.