Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DC1CE308054AC730152D1E46BB46B8F7653C319CB875A051BF0C3ED2EE6C6ADFE5658 |
|
CONTENT
ssdeep
|
96:LdDzPlU0nOA75A1bBy9ui+NDZFZcmY9MeSFxuB:1O0P4Bji+4ixi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67e09090999fd |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccd9d0d0d0d0 |
|
VISUAL
wHash
|
3f333f3f3f300000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a0cc9892a0808080,f184acb6b6ac84f3,0e71710e20000000 |
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 379 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)