Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151141AB06354A2FA6003D7E4D631BEA8366675AFFA11C8C453BD4680CF938BD9465CE3 |
|
CONTENT
ssdeep
|
1536:Gjpp+eCA76ADryQKsbDWGWErJYh7l44bT0ZcU/rfL9sOaVffNcPUpN25jfmZy2bx:Gtpl+y/9sVffNNIKP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6333399333299cc |
|
VISUAL
aHash
|
e7e3e7e7ffffe7e7 |
|
VISUAL
dHash
|
4d4c140cb2b24d4d |
|
VISUAL
wHash
|
00000000c0d8c0c0 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
a28ab2cccc8eb2aa,4d4c140cb2b24d4d |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.