Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B20419FC23609ED905C683F5FF2463E8A78BE26ACA164D45D2FC872865C1CBCCD25991 |
|
CONTENT
ssdeep
|
1536:Qo4ugNArhK03IiNNFuDkxht0Ub5I8SzGVuNyF1bDVVyreOsp2Jd4/pFc5I8SzGVz:eaLZQkkqWJRRVn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9299693796ccc6cc |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
5117ccdccccc13cc |
|
VISUAL
wHash
|
80c27f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
5117ccdccccc13cc,33332d0c6c6eae90,4521416969610145,4141314d4d214101 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)