Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16123D863632C25BB067B8AD45109336EB6A3808DDB1753D971A8C31827FEDE4E4E16C7 |
|
CONTENT
ssdeep
|
768:7RAvu5BOkPnjyOp+xwiiKx2/ki86H0bGHXV2sBYjCv:7ZHOaWOKwiNx2/ki86H0bGHXV2sBYjCv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6831d3793ea4b0 |
|
VISUAL
aHash
|
81818181c3ffffff |
|
VISUAL
dHash
|
3333332b33163633 |
|
VISUAL
wHash
|
81818181c3ffffc3 |
|
VISUAL
colorHash
|
07001608000 |
|
VISUAL
cropResistant
|
3333332b33163633,1e29a4d4b6f2c8c8,0501010505050500,0080404040404000 |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.