Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBD164E1C014DD37472285D9FBF55B1BB6A2C349CB02094193FC43AB6BCACB0CB22599 |
|
CONTENT
ssdeep
|
96:Tkr+tzH0L/STKKiEQt7TQLwvFTeSAXO5HFYe9XfX/Bs4t75QCSTu1mJ:Qr+tzH0LKLiEQCzS35lxXp9bQ/61g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91e11f1cde1e31e1 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
dbdbdaffdbdadada |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
c6d6d8fcddd8d0d0,a082f03b3ba98690,d454f1a915545b68,5ef871bee8f9beff |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.