Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC13632112082D3EA55787E4F6617738A1BEC385D72F891CB17C52B1AB87C98EC673D8 |
|
CONTENT
ssdeep
|
768:gfM0vIAqzPs2OqZ57ZH1MFiLQevMCkCeiM1q0:ckZGt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9e363e3c9c92323 |
|
VISUAL
aHash
|
ffff183c18181818 |
|
VISUAL
dHash
|
d0b2143232323232 |
|
VISUAL
wHash
|
ffffb83c18181818 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
26969256968ad8da,a880a28c8cb28080,d0b2143232323232 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.