Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171939532D3112803D0A798C8F1A74F4E73528757D6134AB5ABE817BAEECECB52752358 |
|
CONTENT
ssdeep
|
1536:069U09U39U39U99UElQdGSePEXeRPfKPUgOd61eOtpQjYBUeeQBSlkI6CeJoQQDd:2EXPUgOd6W6q2iw92k222I2222222+nw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc2d352dd0d3c0cb |
|
VISUAL
aHash
|
8383ffc7c3c3c7c7 |
|
VISUAL
dHash
|
26262f2f2f2f0f2f |
|
VISUAL
wHash
|
8383dfc7c1c1c1c7 |
|
VISUAL
colorHash
|
0e400030000 |
|
VISUAL
cropResistant
|
26262f2f2f2f0f2f,9192a2b0a9a0a2b2,1541414c65434543,d73168cc6c86c171,2727273727292b33 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.