Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181E130D1C418CD37036289D9B7F56B1BB6E2C349CB01098453F843EB9BDECA0DA656A9 |
|
CONTENT
ssdeep
|
96:TkjmgzeFMSftVST6hUSPRhtcBwvFVeBXtHFwQexXgHFXnetXNz/AQGR:QjmgzejCEf23ne2UjzZc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55a55a5aa5a1a9 |
|
VISUAL
aHash
|
fcfcfbfcfce4ffff |
|
VISUAL
dHash
|
2400023109090008 |
|
VISUAL
wHash
|
d0c0e0c0c0e4ffff |
|
VISUAL
colorHash
|
07482000000 |
|
VISUAL
cropResistant
|
2400023109090008,48ef899f17878f9d,074f972ba3974d17 |
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.
Pages with identical visual appearance (based on perceptual hash)