Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4138377C1C1696F055796C8C6F8472CB2E7411EC8828759E2E5B70DEF89FE0AC2A05B |
|
CONTENT
ssdeep
|
384:toG+IIL3nWNGtaSRwTkAdL3nWNGtaSRwTkxdn3nWNGtaSRwTkbdytHcfFYgSi:tohIILGT4w4AFGT4w4xlGT4w4b0FwqA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c668c6389333f395 |
|
VISUAL
aHash
|
7070602000007e7e |
|
VISUAL
dHash
|
c4c4c6ce74d4d4c4 |
|
VISUAL
wHash
|
ff707060003c7e7e |
|
VISUAL
colorHash
|
31048080200 |
|
VISUAL
cropResistant
|
985580d89a83c0d0,c48066e6d04080c0,a080b074708aa080,c4c4c6ce74d4d4c4 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.