Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FF161E1D454ED374B1282C5ABB67B2B7AA1C305CF420E5053F8936AABCAD71CB2149C |
|
CONTENT
ssdeep
|
96:Tk4t4v4z8pDfST8htyt7zoYyt7zjbzlbc3XTHlkxXhE//cYl+AT431:Qg4v4z8puohtyxoYyxjbuzMEsG8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b870c7f8c7c600f6 |
|
VISUAL
aHash
|
ffcfcfcfcfcfcf7f |
|
VISUAL
dHash
|
009c9c9c9c9414c0 |
|
VISUAL
wHash
|
fcc4c4c40f0f003f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
009c9c9c9c9414c0,080661610e200000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.