Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6527433A6009D2A49AB55CCF1C0968D515ED349FB3148C6B274A1BF7BC9DF029A93AC |
|
CONTENT
ssdeep
|
384:3c7cychppa2mJTDxbcM4nZpashifMmUFCov3:3c7cychba2wDxbczAfBUsK3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccd87272f27272c8 |
|
VISUAL
aHash
|
8018181818000000 |
|
VISUAL
dHash
|
00b2b2b2b2e00020 |
|
VISUAL
wHash
|
ff18383818ff0000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
86e0a580313180b0,00b2b2b2b2e00020 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)