Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D933BB43A5DF56669B3439310AF2103B378562B540E4D20B354ECAE72ACC9BA077FD9 |
|
CONTENT
ssdeep
|
1536:TXmVXFfbsQmlo2h2wV9LHd8tVPTMn57BAPuW8Fuz8k:T+XjUMAL98n0AV8Fg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af29c8c336d69c32 |
|
VISUAL
aHash
|
9f09030707bfffff |
|
VISUAL
dHash
|
73533b4c4f6b103a |
|
VISUAL
wHash
|
1b0103070707ffff |
|
VISUAL
colorHash
|
06e00010000 |
|
VISUAL
cropResistant
|
73533b4c4f6b103a,0f37260d7bb301f9,9d1e3f2d3f2d4c56,312123a3a6369c8c,ce0e2e7262920f37,2cbcde8ecc5cc5cd |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.