Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D340A751242057E602743D4F990F39EA2AFD258FA93C90DB3EC82D617C6C94CEA97D8 |
|
CONTENT
ssdeep
|
1536:RJehU8U6HpC+VkHJ+khop3QseNCLViGDMyno7SLeFnpDu3Q7dxHeNHe1HeNHeKHk:yQFpDu3Q7T4Kcl0JExFhN/08i9e6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bdf64645a385a2c |
|
VISUAL
aHash
|
002e1c1c3c1c0600 |
|
VISUAL
dHash
|
29eaf9d9d8d9dec4 |
|
VISUAL
wHash
|
003f3c3c7e3e7f00 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
29eaf9d9d8d9dec4 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.