Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145234A726332B87843DBA2EDE7382955B2D2588DF9C74554F5C96A8D23C3C806293BB4 |
|
CONTENT
ssdeep
|
768:aB+EsZx8/G81M4+DatWM7BWtlM7BYUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt0:aB+EsZ/81X+DatWM7BWtlM7BYUXx+y9t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb50b636186f494b |
|
VISUAL
aHash
|
81fff9d999f9b1ff |
|
VISUAL
dHash
|
6d1353333323635b |
|
VISUAL
wHash
|
00fbf9898189b1fd |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
6d1353333323635b,90b2a4a424604880,630703706f378e4d |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.