Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9A255B24C44FA3B0183D2F0E6B6375EBBC5C28ACA130751A6E9834EAFD6D96CD31551 |
|
CONTENT
ssdeep
|
384:UpyRoQ0RNUc+EQ3pFPJxSDRP3GwheU8w9IgeVPj84E:UaoQ0Uc+EQG9xJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdb263c69ca933b0 |
|
VISUAL
aHash
|
00db839bdb83fb00 |
|
VISUAL
dHash
|
22301632b20e3212 |
|
VISUAL
wHash
|
00ff839b9bc3fb00 |
|
VISUAL
colorHash
|
070001c8000 |
|
VISUAL
cropResistant
|
e00b1a272527b388,22301632b20e3212 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.