Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A235BB26722B4A843DB91EEF73C3D55B2D2588DF8C74550B5C95A8E23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aIszV+EsZx8/G884/DawIMjBSwZMjBLwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDN:al+EsZ/8H/DawIMjBSwZMjBLwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3d38c3c3c3c3c2 |
|
VISUAL
aHash
|
df8183ffffffffcf |
|
VISUAL
dHash
|
0f3737353d373d0f |
|
VISUAL
wHash
|
c38181839fcfc7c3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0f3737353d373d0f,ffefb3b3efe9ffff |
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.