Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC23F89322E5241DE32657CFC0739E19DF97831FD722CC9AEF958E4D234891282BA50E |
|
CONTENT
ssdeep
|
768:1eTMlvD6M5YoYQml1tMloEXGbekc50SsxkGpSwR:1eTkvZTYQml1ul7XGbesSFs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e166b6336d323266 |
|
VISUAL
aHash
|
e7fffff9e9cbcfff |
|
VISUAL
dHash
|
4d0dcc63d39a9cf4 |
|
VISUAL
wHash
|
00ffff384848467e |
|
VISUAL
colorHash
|
07002030000 |
|
VISUAL
cropResistant
|
4d0dcc63d39a9cf4,0058687800682016,d3b99bd6d6d6c5e7 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.