Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101431AA83D4DE5276DB7839710DA2103B275531B940E4D206244FDAEB6FCCA7B0A7EC6 |
|
CONTENT
ssdeep
|
768:/1u8nT0MZXnBOoooV+BgbysHlAQ3SAdo6io4Sqn7XRE5Gtx:9vOoECysHggo6+57X1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
faf65870d96058e2 |
|
VISUAL
aHash
|
c0ffffffff000000 |
|
VISUAL
dHash
|
083c0c0c088480b1 |
|
VISUAL
wHash
|
80ffffefff000000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8800600c4c0c0c8c,08e8ecc4daeaea08,4020202020101060,809080888cb03131 |
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 158 techniques to evade detection by security scanners and make reverse engineering more difficult.