Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1753349E93955F5125FB280E360BF254BB33E241B780C99B0A254DEA974F8059903BFDE |
|
CONTENT
ssdeep
|
768:DyWu/WuyZPL/ubs/9RX8UauudW4ncSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZEdDxxA:HudvLyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b62cdbcb6c82871a |
|
VISUAL
aHash
|
1f070707033f1f07 |
|
VISUAL
dHash
|
773ffc3f37ee3d1e |
|
VISUAL
wHash
|
1f0f070f037f070f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
773ffc3f37ee3d1e |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.