Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4333B726731B8A983DB52EEF7382D49B2C55899F8CB4400F5C9969D23C7CD06287BB4 |
|
CONTENT
ssdeep
|
1536:av+EsZ/85DVR/MjBER9MjBdDrpRXPZlQaQD9OehM+BrUgq4z:aACR7RODrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f3818d8d81818181 |
|
VISUAL
dHash
|
235d5d5d49415951 |
|
VISUAL
wHash
|
ff8d8f8fa9818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
235d5d5d49415951,343038383cbc9889,fef9f1e1f1f2e4e1,23d8dad8c89189d1 |
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.
Pages with identical visual appearance (based on perceptual hash)