Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A265574045F5338B8F32F1B5B1B72CE0F881C2C5A19E7CE6A092C9D39ADA7853256D |
|
CONTENT
ssdeep
|
384:ebNSPYXzqsCDVLjSzTcRG9H1xfsSvvdypI:VwX2swVLjSz39H16SvvduI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d16b4b534b4bc16 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
d4697130f09a8eaa |
|
VISUAL
wHash
|
00381c1800ffffff |
|
VISUAL
colorHash
|
06000000603 |
|
VISUAL
cropResistant
|
69699614b4341926,4567b427a0b3c2d8,c0c0138ec8e0aaaa,94c4697130703230 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.