Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA335C726331B8B883DF51EEE7382E4AB2C6959DE8CB4550B5C9568D13C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aY+EsZ/80vyDVRKMjBQRsMjBBDrpRXPZlQaQD9OehM+BrUgq4z:axmRgRDDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f1818d8d81818181 |
|
VISUAL
dHash
|
035d5d5d49515951 |
|
VISUAL
wHash
|
ff8d8f8fa9818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
035d5d5d49515951,343038383cbc9889,fef9f1e1f1e2e4e1,03d8dad8c89198d9 |
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)