Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F43E1638D9950DB3615B3D090072E78D885CC3F56E24A4DA5BFD2A4FBB2CE1FA06744 |
|
CONTENT
ssdeep
|
384:ty0n6XUJpRUJJaFRMuMvROaPROadcXcP9xNKPplXExN:N6OSsFRMuMZ7L9qPpl6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96864f6c7959496c |
|
VISUAL
aHash
|
003f7f7f47000000 |
|
VISUAL
dHash
|
e4ecfc9c9e8d2921 |
|
VISUAL
wHash
|
103f7fff6f650000 |
|
VISUAL
colorHash
|
09e00008000 |
|
VISUAL
cropResistant
|
ececccf89cbcb48c,80b2f179c0f1b1f8,e4ecfc9c9e8d2921,d8d9811563cb4b03 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.