Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134221C63B600CD2A4DAB558CF6C09948451DC385FB314CCAB1A491FFBBC4DF065A97AE |
|
CONTENT
ssdeep
|
192:t+k3JodtIyGqBnxSiMcnthWeNWbZfMmUU8VCon:WtIy7iTfMmUFCon |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13131cececee688 |
|
VISUAL
aHash
|
c3c3c3ffffffffff |
|
VISUAL
dHash
|
0496960c30000001 |
|
VISUAL
wHash
|
0000003000000303 |
|
VISUAL
colorHash
|
07000000086 |
|
VISUAL
cropResistant
|
0496960c30000001,0000000000000000,8000000000000000,7131726a6e72314d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.