Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182B320707A43252A25BF41CF922B1B0D61C1D7CAC6826ED5A2F48319DFF1D60BFD66A0 |
|
CONTENT
ssdeep
|
3072:6qbtnPW0Bvkwp35lV/OUIUQ00t/KDIAYj6Z:6ItnPhBswV5lV/OUIpt/0IAPZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d32eb52e9342eb14 |
|
VISUAL
aHash
|
0000206c2c207cff |
|
VISUAL
dHash
|
d436c9c9c9c9dcdc |
|
VISUAL
wHash
|
0400747c7c647eff |
|
VISUAL
colorHash
|
310004002c0 |
|
VISUAL
cropResistant
|
dcdcdcdc989a9a1a,d432c9c9c9c9ccdc |
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 191 techniques to evade detection by security scanners and make reverse engineering more difficult.