Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB13DB32948C663F15E29386A3600FABF356834CC37AD6AEA5D9C2385BC3D64CC665D4 |
|
CONTENT
ssdeep
|
768:rV73i4gi1gBiS0O5VxszP4pzsYT23i2BUwNDY8sV/DjTewkzFfF+2Vu0ce5l1:rBOi1gBiSHyzP4pzsYT23i2JDmXTewkd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9449e99496b0ebcb |
|
VISUAL
aHash
|
ff000016363606ff |
|
VISUAL
dHash
|
71f0c4ececec8c3b |
|
VISUAL
wHash
|
ff0000363e3646ff |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0001016969950004,2428787858787878,b6e2e8c2d2170d8e,f8f8b8f8e92c3c68,000018003c1a1a08,32f0ececece4ac8c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)