Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B201650BD055541A1D58036D9ED3F28CA7621D87E2EA4F00DEED501F8AD1AD4E806FC1 |
|
CONTENT
ssdeep
|
12:hRwswj9uq/FWEN8UGhLGEPtNs526O4RV/Tw/XTvpIaUSWhun70T+tGK:hRf+N8Imtm5265RlT+X1ItE70T+1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfbf40c0b830c6c7 |
|
VISUAL
aHash
|
ffbf9f8f9f000000 |
|
VISUAL
dHash
|
8b7e761f38c41840 |
|
VISUAL
wHash
|
ffbfbf8f8f000000 |
|
VISUAL
colorHash
|
1e001038000 |
|
VISUAL
cropResistant
|
cb1c7e761e3b3f17,8a8199535b81c18a,6c6a686663326281,00000000000000c0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.