Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D235BB26322B4B843DB91EEE73C2D46B2D1589DF8C74514B5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ag+EsZx8/G8R4iDawxMYBQweMYBpwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:ag+EsZ/8CiDawxMYBQweMYBpw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9699696966d1c92 |
|
VISUAL
aHash
|
fff999b9f9fbffff |
|
VISUAL
dHash
|
4c33333303335300 |
|
VISUAL
wHash
|
a781818181c1ffff |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
4c33333303335300,0731517371615595 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)