Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111B463E4C200DDAF88B61489F559D7E4D305A720FBBE8E7472848F2E73DD83716266A1 |
|
CONTENT
ssdeep
|
3072:pm+yyGyWcoomKC6Ym+yyGyWcoomKC69Xm+yyGyWcoomKC69Rm+yyGyWcoomKC69i:+8hO8nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93353c6d69652c96 |
|
VISUAL
aHash
|
002e3e287c007e3c |
|
VISUAL
dHash
|
d6d8f8c8c8e4d0d0 |
|
VISUAL
wHash
|
023e7e3e7e107e50 |
|
VISUAL
colorHash
|
38201200040 |
|
VISUAL
cropResistant
|
10264a0850b296e6,71f09e0e65694949,5a3a1a9a39293819,d6d8f8c8c8e4d0d0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.