Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B2278318040993B47D280E59F72676B7350C281E20B5FA953F9A38D9ECFEE1CD72256 |
|
CONTENT
ssdeep
|
192:monnkExcpTBPGH4S1s38ZhQGdEkERxmChRsHAK:mo96pTcQ8H5d2QwRRK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a6db236cc986d32 |
|
VISUAL
aHash
|
0600181810242c2c |
|
VISUAL
dHash
|
d46bb2b232c8c9c8 |
|
VISUAL
wHash
|
6e1c1818187e7e7e |
|
VISUAL
colorHash
|
30c00008000 |
|
VISUAL
cropResistant
|
62a5e535a5a5c9c5,e8cb5b5995b11959,d46bb2b232c8c9c8 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.