Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE417224C108DD3AE274C0D0E570A32C96CD8249A3520B98A7EC473D26EA9BADC1FEC4 |
|
CONTENT
ssdeep
|
48:/WfEOVLQ4mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:/Mpdt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa4d997382d89d72 |
|
VISUAL
aHash
|
c081831b07070f0f |
|
VISUAL
dHash
|
030707330f1f3f3f |
|
VISUAL
wHash
|
e1c1c39b070f0f1f |
|
VISUAL
colorHash
|
07001008008 |
|
VISUAL
cropResistant
|
030707330f1f3f3f |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.