Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFA335219729667B40BFD5C16E66476B73F2F51AC9830551B3FCC3AC2BC8D04BE2192A |
|
CONTENT
ssdeep
|
768:sI98l7lA66YgJ0A6AwU8sVVIf/gXM2Rc6:ul7lA6MJ0A6A87gb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb639c946d3c9494 |
|
VISUAL
aHash
|
e9e1e181e1ffffff |
|
VISUAL
dHash
|
4b4b0f0b4f301f12 |
|
VISUAL
wHash
|
e181e181e1ffc3c3 |
|
VISUAL
colorHash
|
07480000000 |
|
VISUAL
cropResistant
|
4b4b0f0b4f301f12,4616f6b69c9e2cc8,cc92abababb3f0e8 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.