Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3C29472E0102B3B52C3D3D57391772EA6D3C24EEA471A0506F98B9D4BE7E50CE2711A |
|
CONTENT
ssdeep
|
768:s0y5N1b9DGwVwfl7u1H7sOy2+y9BH4cLIe:8ABU7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5cd926d9238 |
|
VISUAL
aHash
|
3f038f8fdff3d1fe |
|
VISUAL
dHash
|
e7b63c3c3c361298 |
|
VISUAL
wHash
|
1f03078f8fd0c0fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e7b63c3c3c361298 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)