Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14171FB71B4805C3324AFD2E495F1DE1A72928E59DB8302F2D9F406AE87E1D68DC9607C |
|
CONTENT
ssdeep
|
48:TupBzCVVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPpmOpeQKfcl6mUjIevFJu:Tu/209TBn9YLfqt3mOpeQKfK6mU0mu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2803ef7dd7f8808 |
|
VISUAL
aHash
|
ffe77fffffff0099 |
|
VISUAL
dHash
|
088c900100001123 |
|
VISUAL
wHash
|
67670081ffff0099 |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
088c900100001123 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.