Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEB292367211793703178AD0B9647B4E72A7C2ADC807242107FEA3D92BFBD54F867A19 |
|
CONTENT
ssdeep
|
384:MJJJOJ2JJOK8+8tz+ATkD+2gjq+Binfu5biq2fwl4+p7jJoC2mxfYxUU71pGVP+4:MJJJOJ2JcKithk9gjd52K4+pnJo8SUUA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8280820675ffffb1 |
|
VISUAL
aHash
|
7f7fff00003c1800 |
|
VISUAL
dHash
|
f4f0f20796696968 |
|
VISUAL
wHash
|
7f7fff00003c3c00 |
|
VISUAL
colorHash
|
02000000007 |
|
VISUAL
cropResistant
|
e4d8e4e4f0f8b333,484cb6b6b2d64d4d,1a2bcc5293325ded,55566adb892493d3,7b378ddb7df6db0d,000032323232b22c,0060066169696906 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.