Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6C2A53271106A3B02D792DDB362E32EE3E7424AD6560D15A2F983ED1BD7D50CE2352A |
|
CONTENT
ssdeep
|
768:BScy5NL6SCZvQ390X1nvp7sOy2+y9BH4crIe:bSCfvp7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763bd3ad509c4c8 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
148cc6c2c8cde300 |
|
VISUAL
wHash
|
00e7f0303404ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,940cc6c2c8cccde3 |
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.