Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B5233B25004953B2763CAE9E3B2B74BFB918545CD83418AD0F6D35D2BE3D71ED0A225 |
|
CONTENT
ssdeep
|
96:og0fqHUnoGyPgmGjZzR2eywD6E8NWYwGgjKksRyuoCaxtBcejaPSMdvVDHDFiTpj:og0f+nF9OuqWwthsRI5UHp0p9glrfc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e696161691c94 |
|
VISUAL
aHash
|
80809c80ffffffff |
|
VISUAL
dHash
|
1b38342803302024 |
|
VISUAL
wHash
|
80809c80fcfcfcf0 |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
1b38342803302024 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.