Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BC23227B044812F8E9750EEE69CBA69A59D9145F730C48298F582BFEE11CEDBC2035D |
|
CONTENT
ssdeep
|
768:/NcFYdnTVD2bP+u47cu4C8Ell2PHv93pPfBUszc:/N8J1E4xBNw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86c6c9c7c6c6169 |
|
VISUAL
aHash
|
83dfc3c3dfcfc3c3 |
|
VISUAL
dHash
|
372f1f37393a373b |
|
VISUAL
wHash
|
81c381cfcf8f8f81 |
|
VISUAL
colorHash
|
07240010040 |
|
VISUAL
cropResistant
|
372f1f37393a373b |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.