Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C13271E1C454E937471286C5F7B27B6BB771C288DF43098023F4436AABCADA0CB1689D |
|
CONTENT
ssdeep
|
192:QZ8vnaMTZY+bbjgZgZnzYhhfkYHLNjP8iIBwyVc7yVl0gpBXFwV7kVGKnElU8F:QZ8vnaMY+bbjwwzGfkYHLNz1mwec7elw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b038cfc6867986ce |
|
VISUAL
aHash
|
ffc7cfc7f7f3c37f |
|
VISUAL
dHash
|
639e9a9f048616c0 |
|
VISUAL
wHash
|
00c3c3c3c3f3c33f |
|
VISUAL
colorHash
|
07000030002 |
|
VISUAL
cropResistant
|
639e9a9f048616c0,ffd0f2d8e2e2e2e4,00804798b8476090 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.