Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6426233E600DC2A4E9795C8F2C49588515AD349FB3148C6B2B491FF7BC9DF069A83AD |
|
CONTENT
ssdeep
|
192:kj3JgdT8N4OoW6GqCsBxhuXfnMcnthWeNWbZfMmUU8VCoRgV:BT8N4OoW6GRPOfMmUFCoRgV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db5ba4725ba5e140 |
|
VISUAL
aHash
|
f8f8f8b8f8fcffff |
|
VISUAL
dHash
|
e868ea6ac8800400 |
|
VISUAL
wHash
|
f81818b838f8c3fe |
|
VISUAL
colorHash
|
06000200030 |
|
VISUAL
cropResistant
|
e868ea6ac8800400,e08082c2e0e2f0f0,90a08cb2b273b2f0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.