Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171234A726732B86843DB92DEF73C2946B2D2489DF8C74454B5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G8y4lDatoMmB6t0MmBkUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:an+EsZ/8FlDatoMmB6t0MmBkUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3ae4e43ae4c461 |
|
VISUAL
aHash
|
810c0c0c8cffffff |
|
VISUAL
dHash
|
5d5d5d5d5d200000 |
|
VISUAL
wHash
|
000c0c0c0cffffff |
|
VISUAL
colorHash
|
17001000e00 |
|
VISUAL
cropResistant
|
5d5d5d5d5d200000,5cdc5cdcdcdcdc9c |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.