Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF427033B600DD6A8DAB55CCF2C4A68C415AC34AFB3148C6A2A491FF7BC4DF065953AD |
|
CONTENT
ssdeep
|
192:DmPEYcYclPZK3DP2jiA4gQAFQsPxHwABMcnthWeNWbnfMmUU8VCo1U:iPTcYclBK3DP2jiZgDlw1fMmUFCo1U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8f80b070f170f17 |
|
VISUAL
aHash
|
81c1c3c3c3060605 |
|
VISUAL
dHash
|
bfbfbf9ebefebcfd |
|
VISUAL
wHash
|
c1c3c7c7c707070f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
f7fbf6ecd8b0e083,686070d0c07151c0,bf9d9f9f9efebcdd,faf6ecd8b060c082 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)