Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161935A23421935270537C2D530B95B77E2969E5FFAA70B010EECD7FB2BEACA0745A019 |
|
CONTENT
ssdeep
|
768:Y44cYLlu0TxZ/DFTksPhwfj9IhIEBa4QuVijdrYq:Y44cYLllZRTksPSRIhIEBa4QuoJN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2026d3cd3c3e3e1 |
|
VISUAL
aHash
|
40007c7c3c04bcec |
|
VISUAL
dHash
|
d639c9e9f9396149 |
|
VISUAL
wHash
|
40047c7c7c0cfded |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
d639c9e9f9396149 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.