Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165D122E0C045ED3B435386D8B7F56B0B7796C355CE02094493F883AB5BCADA0CB26A9D |
|
CONTENT
ssdeep
|
96:TkCFe/wHmiWSTNtL9V48weoCFx+XnHFLmXHHFIiX3X/kmX5R:QokwHHRR9DweUynXsmL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
921219d939393f3b |
|
VISUAL
aHash
|
04070707ffffffff |
|
VISUAL
dHash
|
9aa87cad58000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9aa87cad58000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.