Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144C130F1C014DD3647528AE8E7F99B0BA792C349CA03098457FC83EB5BDBC60CB615A9 |
|
CONTENT
ssdeep
|
96:TkiWawjzeNieSTgGNX46it7p+LwvFIQexX4HFqeBXnz/ixJJ:QlVjzeykGxsX+xaPNzq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed36125b126d6d16 |
|
VISUAL
aHash
|
00fffbffffffffff |
|
VISUAL
dHash
|
0000070307030200 |
|
VISUAL
wHash
|
00fff1f10101010f |
|
VISUAL
colorHash
|
07080200600 |
|
VISUAL
cropResistant
|
0002070307030200,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)