Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8E2F6F551A8B9EA9183CBE4E2352A3636A760FADF47CB4483E497D4DB86CCDCC44841 |
|
CONTENT
ssdeep
|
384:e7gXJ+vbAra5t89/aIyWVv8gL3HBNHER+d1wRryHrRCxP4ke2J:evbA2E/3Ou3bHU+d1wRr3xP4kek |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98cf67308c30cde7 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
3270b2b2b2b29de1 |
|
VISUAL
wHash
|
18387e1e1a1e04ff |
|
VISUAL
colorHash
|
06000007000 |
|
VISUAL
cropResistant
|
8e9ef0e4a6aa8c96,3270b2b2b2b29de1 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.