Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D234130A441ED3B00DBA6C856725B66B2F58341CA530689FAF5C3F92BEFC28DA77514 |
|
CONTENT
ssdeep
|
768:rgs2R/jKIQrErwrY3yOYWhKzBRvigJUf72:8s2RWu34BR6gu72 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926eed1d93c2f881 |
|
VISUAL
aHash
|
ff00000404007eff |
|
VISUAL
dHash
|
6bf79dccdc9cd488 |
|
VISUAL
wHash
|
ff0004062e04ffff |
|
VISUAL
colorHash
|
1a0000001c0 |
|
VISUAL
cropResistant
|
016b636186400049,d4d432aaaacc8d8f,7fbf9cccccdc8dd4 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.