Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB53F8E93894A056076290D3A0BF3A4AF739186F791C55A0B0B4CFE571F88E5606BF4F |
|
CONTENT
ssdeep
|
768:WyWubPuC/SW51y/uzZ/FDsQoU8I9vSL1Ljwq8n+FHHdvNfz5XSLSL/BzqSz6QFgY:m8vyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b130ce8bcbcecc8a |
|
VISUAL
aHash
|
e7c3c3c3ffffffff |
|
VISUAL
dHash
|
969696961c1e1e0c |
|
VISUAL
wHash
|
c3c3c3c3c3c7c3c2 |
|
VISUAL
colorHash
|
060000000b0 |
|
VISUAL
cropResistant
|
969696961c1e1e0c,33ff779791919577 |
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 476 techniques to evade detection by security scanners and make reverse engineering more difficult.