Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB03963311D22CF78BE35ED863E8A7A66097124ECFA1E844B2B653D58ECAD57250710F |
|
CONTENT
ssdeep
|
768:q/8HHuFAm4kQuUdwMmi+/HQNKYLrDUalJFM029mA5ZgLHalo18N31ZspXGZK/6v2:q/8HHu+Lk5Udei+/QN5LrwalDM0umAjk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc19332c7cc36c3 |
|
VISUAL
aHash
|
cfcbc3d383878383 |
|
VISUAL
dHash
|
1b1337372f3f3f0f |
|
VISUAL
wHash
|
cfcbc3c383878383 |
|
VISUAL
colorHash
|
0700a000240 |
|
VISUAL
cropResistant
|
1b1337372f3f3f0f |
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 2367 techniques to evade detection by security scanners and make reverse engineering more difficult.