Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E73C832D2561403D0ABC5C9F1635B4A73918789C6134BB567F827BAFECECB52B21398 |
|
CONTENT
ssdeep
|
1536:Es0Vk/NX+pPUgOq6yymH1+NWs5w72CFoeibxezqCScqNHtzWrOMWFcH7xxlaeeVe:DOpPUgOq6YowZsSx4Wxhk222I222222w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9362ccc339398c7 |
|
VISUAL
aHash
|
c181fbebebf9fbc3 |
|
VISUAL
dHash
|
0b27d3dadab2f29a |
|
VISUAL
wHash
|
018178cbeb58fbc3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
0b27d3dadab2f29a,495924f431272b2b,4b437198d8d08c4d,272b392b2b3323c8,3d341e1e139fdf01,656caca585842467 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.