Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7E2A77261007B3B019396C6B290E75E63E3874ED34A151663FC836D4BA3E50EE2775A |
|
CONTENT
ssdeep
|
768:8Qe/s7mzSCP9zHXvk2ZLS87sOy2+y9BH4crIe:COmTBh7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340f9329d4d94e9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
988cc4c2cc0cc300 |
|
VISUAL
wHash
|
006478780c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,988cc4c4c8cc2cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.