Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199331BE97852F1164B7340F350BF198A733D281FA80D45A0A164DFEA75B84A9603BFDA |
|
CONTENT
ssdeep
|
768:YyWuP/WyCMZX8UWh/usjqR35Uxj4aslSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZEdD0:H5KpyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16665676666662c |
|
VISUAL
aHash
|
c7c7c7c7c7c7c7c7 |
|
VISUAL
dHash
|
0e1c1c0c1e1e1e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c7c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0e1c1c0c1e1e1e1e |
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 469 techniques to evade detection by security scanners and make reverse engineering more difficult.