Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D9163309462AD3B1643C2D4FAF6570FAAD18705C677160222F5C3EE6FD6E56CE02085 |
|
CONTENT
ssdeep
|
48:tPpQbqwF51HcTTSTtaiMK0d8iS2Lsf1i22bNfmMpXgV+F+zncgV3LznNZvBg1:tePiS7f1i2QmmXgVBE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec431b933236c6 |
|
VISUAL
aHash
|
fffff7dfff000000 |
|
VISUAL
dHash
|
482627344730d4d4 |
|
VISUAL
wHash
|
fff3d7d7f3000000 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
4c22222725b5265a,0669696905b6b609,920a929296968292,0000000000000000,103032c4d4d4c440 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)