Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9F11FF1E090ED3A475385C6E7BA6B0B7690C345CB47194197F483ABAFCAC60CF12599 |
|
CONTENT
ssdeep
|
192:QJnfzD715lt8iIGwyAUmNWXqU7yMksEqw:QJnf1ZwVU6w79dEqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b9ac4939b |
|
VISUAL
aHash
|
f3e3f3d3dfffffff |
|
VISUAL
dHash
|
26262626b0040400 |
|
VISUAL
wHash
|
10000000cfc3ffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
26262626b0040400,7870727e606c7e7e |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)