Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5B142240141D93B60EBAAE87271832F76D2C354CF434B2267F587F622DEC95CD22356 |
|
CONTENT
ssdeep
|
96:etbb4RAcv6acWzfBVBtBVQRVVBVck4yBVa63BVHr:etbb8AS69UfhtQ/8ly6cnr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b323333399993399 |
|
VISUAL
aHash
|
c7c3e7ffffe7ffff |
|
VISUAL
dHash
|
4d4d4d32484d3a5a |
|
VISUAL
wHash
|
c0c0c0d8c8c0c8c8 |
|
VISUAL
colorHash
|
07200008080 |
|
VISUAL
cropResistant
|
4d4d4d32484d3a5a,ecec24b2b4b8f0f0 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.