Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA337E76E000DD3B428BF2D29371AB5F76C5E30AC9970A091BE0936D6BCBCE1DC26559 |
|
CONTENT
ssdeep
|
384:SJluR9fw+fGG2jRMIWGG2jRMIW7EtvCCc3N4W+c3N4sJb81NcPSx8r:QI9fw++tRtoxB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9993263cc9b66399 |
|
VISUAL
aHash
|
00003c3c38000020 |
|
VISUAL
dHash
|
5444487072683454 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38018008200 |
|
VISUAL
cropResistant
|
5444487072683454 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.