Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E132130A800E82B01CB69C4A636576A62F98305C7130689FEF9C7F95BEFD2DDA37154 |
|
CONTENT
ssdeep
|
768:fsIx/jFeibseXbxeibIfJBzpadDdaWdad9BavRfjfcJwt6jnUf79F:fsIxBeibseXbxeibIfJBladDdaWdad9I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ae1df2ac61a911f |
|
VISUAL
aHash
|
ffc10831000000ff |
|
VISUAL
dHash
|
61399aab633b3160 |
|
VISUAL
wHash
|
ffd55971110100ff |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
0029694be129191b,88e0f0e0e0f83838,8c8c8c8c8c8c8c8e,6232f26a52d2f2c5,c6c9b9e53578f878,3032002002020000,299babab633b3160 |
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.