Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B236B726332B8B843DB91DEF7382A45B2D2998EE8C74594F1C95ACD13C3C806593BB4 |
|
CONTENT
ssdeep
|
768:aJfML+EsZx8/G8wxj4sDat8M7BgtQM7B87Ucix+y9dQpUDF1E56ITmHDLBABW8KB:aJfML+EsZ/8wxMsDat8M7BgtQM7B87UR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a92ccc6b192e5e5 |
|
VISUAL
aHash
|
ff3c180c003c3c00 |
|
VISUAL
dHash
|
6968706938616970 |
|
VISUAL
wHash
|
ff3c3c3c003c3c3c |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,a203450cb4b4538a,6969706938696970 |
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.