Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECC2BE7094009917429362F0626F370A1EEB9989D3638A28BFFDC31D1FEAD15DD3A974 |
|
CONTENT
ssdeep
|
384:egAZs444WuhQGU4vdW0w3SlA+3kHX7ybkn9:ebs444LhQGxdW0oc3kHX7ybI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd3a252d2bb66383 |
|
VISUAL
aHash
|
01183c3c18787e38 |
|
VISUAL
dHash
|
13f0f070b0d0d4d0 |
|
VISUAL
wHash
|
81187e3c3c787e78 |
|
VISUAL
colorHash
|
38001030000 |
|
VISUAL
cropResistant
|
13f0f070b0d0d4d0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.