Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB0241E1D454ED374B5281CAB7B63B2F76E1C209CB02095493F893BE67CBCA1CA1259D |
|
CONTENT
ssdeep
|
96:TkmQozYB3eSTJ8v67YES6tcTGlwvFxexXIHFdeBXBX/+Y1q/ST5+AT431:QmQozYBr98iRKTGdSiXXG+qKP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
870e70790f9dd0f8 |
|
VISUAL
aHash
|
00031f3f3fffffff |
|
VISUAL
dHash
|
68eeea68680000c0 |
|
VISUAL
wHash
|
0000001f1fffff3f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
68eeea68680000c0,f3c6ac3636ac86f3,211d6171711d2101 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.