Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123234A726722B4A843DB91EEAB383D56B2D2589DF8C74410F5C95ACD23C3C912297BB4 |
|
CONTENT
ssdeep
|
768:aZ+EsZx8/G8Q44DawOMrBuwDMrBfwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAT:aZ+EsZ/8z4DawOMrBuwDMrBfw0N2/y9C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bdc9ce1a492e3b2 |
|
VISUAL
aHash
|
ff3c003c00200400 |
|
VISUAL
dHash
|
f0f04d55454d597d |
|
VISUAL
wHash
|
ff7e153d21213d01 |
|
VISUAL
colorHash
|
08007000080 |
|
VISUAL
cropResistant
|
f0f04d55454d597d,f0f0d4d4cecfdcf9 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.