Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEA3DE234259762B4437C7D0306A5B3BE1A6999FFAE70A000EDCC7F76BF9CA0741A519 |
|
CONTENT
ssdeep
|
1536:Q5sNtpR4nXBKpSpFl26voSZHYXHM5IH34R/lIFfi:vUMrXs5IX2/0fi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d09d3137d2d |
|
VISUAL
aHash
|
00030f2e6e0f01ff |
|
VISUAL
dHash
|
d8a778dcdcb9f701 |
|
VISUAL
wHash
|
00070f2f7f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd335cdcdcb9f701,dcbf79dcdcd8b377,d64b6bab944959b4,0e432513161c3424,d8114d3332314d51 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)