Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185333BFD435029AD0843A3DAEF1B2164339E90B59902CB68C2DED75959C2F5ACC3E86D |
|
CONTENT
ssdeep
|
768:9SZBGWqnDJMkcjb68fYVZh9Gws9kOQhwQTK7RkH1ElNNqr:wb7ONbsWMWDcws9kd0YJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc465396c1153d97 |
|
VISUAL
aHash
|
008181c3ffc3c3c3 |
|
VISUAL
dHash
|
162f2b332f2f3b1b |
|
VISUAL
wHash
|
018183c3ffc3c7cb |
|
VISUAL
colorHash
|
0e200410000 |
|
VISUAL
cropResistant
|
2f2b3b332f2f1b1b,1cb4e62613312b19,0104144444140401,26aeccdcdc5812c2,661b6d6dbaba39b8 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.