Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185723E71A481177B258243D5A378BB29B3E2A0C5D9824FCAD7F4478B8F9FF61CD110A9 |
|
CONTENT
ssdeep
|
384:9UqU7P6H59pSqmIvzMIuvCAPi1Y2Rf4p8F:SXL6hSoICAPi1Y2Rx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ecedb1e1ece0 |
|
VISUAL
aHash
|
0c0c040c0cffffff |
|
VISUAL
dHash
|
396929d879555929 |
|
VISUAL
wHash
|
0c04040c0cffffff |
|
VISUAL
colorHash
|
06003000180 |
|
VISUAL
cropResistant
|
396929d879555929,b870f068686c3018,03161c2cac969290,0000000104030b03 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.