Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E234BB26722B8A843DB91DEFB3C2D56B2D1488DF8C74414F5C95A8D23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:ag0RE+EsZx8/G834pDawwMbBtMwFMbBtlwZCN2/y9dGDTDiJE56ITmH+LCBlvNPC:aA+EsZ/8IpDawwMbBWwFMbBPwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b352564e4c6cec6 |
|
VISUAL
aHash
|
8181bdbdbdbdbdbd |
|
VISUAL
dHash
|
175d797979797969 |
|
VISUAL
wHash
|
81011d9d9d9d9d9d |
|
VISUAL
colorHash
|
07200080008 |
|
VISUAL
cropResistant
|
175d797979797969 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.