Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120E10FE1D404ED37435286D9A7F66B0B76D1C349CF021A4493F883AB5BDACA0CA22999 |
|
CONTENT
ssdeep
|
96:Tkft1DtSTBJ8v67GrKFtG6FOXmXw5HF8GXmHFG72XkX/4JY3zEmSTyR:Qft1DcD8ibtG9f5iCXAgzEDk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c848f37266c819bf |
|
VISUAL
aHash
|
000018100000ffff |
|
VISUAL
dHash
|
189032b224f04400 |
|
VISUAL
wHash
|
e000181800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
92926a9495d51b1b,41a2a2a2a2a2a241,82a2a2a2a2a2a200,82a282e291909090,0000000000000000,108c72b2b2a012f0 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.