Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E222F23B600CD2A8D9B46CCF6C49A89411DC349FA314CCAB1A491FF7BD1DF065A97AD |
|
CONTENT
ssdeep
|
192:kHq13J7U/d6r7PHsxyqjOx5JMcnthWeNWbnfMmUU8VCocx5:yqa6r7PIqOfMmUFCocx5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9819f1215bf36719 |
|
VISUAL
aHash
|
1818181818ffffff |
|
VISUAL
dHash
|
79317969310e0000 |
|
VISUAL
wHash
|
1818180018ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
9ab2a2aab696e8e6,8600000000000000,7971313169693130 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.