Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171C2013419475F6FA0C3B2A2236F5F0DA1C4F799C6778A06F6E84B4547A6CE8C9F8214 |
|
CONTENT
ssdeep
|
768:XbNWLtP7Tn42e8RVNBvkx/i/Q/r/O/Z/tAZZNo1ZlBbxee5tB4:eeez2aoDGROZT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ed2b4b5c193716c |
|
VISUAL
aHash
|
1f37113f1b131313 |
|
VISUAL
dHash
|
b665616377666ee6 |
|
VISUAL
wHash
|
1f3f013f3b131703 |
|
VISUAL
colorHash
|
39006000001 |
|
VISUAL
cropResistant
|
b665616377666ee6 |
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)