Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E3362756200092BD4B78BA8EEF97B7E90ADA78DDA17841CF5B845F617C2C1C6B132D0 |
|
CONTENT
ssdeep
|
1536:pr6rlJg9tVu1ZHuiGQcgLc0ihBrvT621egkozZi:peT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92cd6d36d2c26d92 |
|
VISUAL
aHash
|
1c0c7c7c0c240e04 |
|
VISUAL
dHash
|
f438c0cdcdc84c0c |
|
VISUAL
wHash
|
7e0e7e7e2e2c0e04 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
d42b0b1717173380,0468169616264004,f438c0cdcdc84c0c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.