Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E0297336000D8171EA7D688FAC0E6C9619AD34AFB314882B2D091AF6BC9DF55E7137C |
|
CONTENT
ssdeep
|
192:0tWGdKkbdi5kbsBl4T9ZHC/OfMmUU8VCoE:0x4iay9ZHC/OfMmUFCoE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e0ecf0ff030cd0f |
|
VISUAL
aHash
|
3f3f1f1f1f1f1f3f |
|
VISUAL
dHash
|
686860acec6c6c60 |
|
VISUAL
wHash
|
0f0f1f0707071f1f |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
686860acec6c6c60,b2325a62621a4f49,4006696969480400 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.