Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18202DAE5530706A6B00379B9F0E5BF5E2277428EF65386A8E1C10A17E9CCFDDC854E68 |
|
CONTENT
ssdeep
|
96:dLFA1cgx+M73sQ8egsBPP/QRBa01/QRBs0/aiqTkaMke3g8iqfq46u:I1NwR1uRb/aiq/o3g8iqf/9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc333399 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
08101032b2320c10 |
|
VISUAL
wHash
|
0f0f3f3f3c3c0000 |
|
VISUAL
colorHash
|
38000001030 |
|
VISUAL
cropResistant
|
a2808080808080a2,282028282828202a,08101032b2320c10 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)