Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F663BF32B1902D37416383D9FAE2679B1312C358CF161A88019CC6BBBEEBD74E9551ED |
|
CONTENT
ssdeep
|
1536:X3vDS+IYCcyOc+Wv4UYHmhPhp3At5IwgCdO4JdKq:HbS+KcbWQUYGhIt5rNKq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c73762c5528 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b37b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
939bde8c83131b92,f28c8ec69c2a8e8e,c9c9e9e1c9c9b37b,79e9260a1a0a1a1a |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)