Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174D35CB8B208AA3A9D7783E730A95005325E120FB44D49246358DDAC76E9CDFD43BFD9 |
|
CONTENT
ssdeep
|
1536:yRd9w/XBsArX9WERiAQ3O4Ab3exTCBq/Gz9:TLIERQk3GCBh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6ec491c06c39e3 |
|
VISUAL
aHash
|
ff8700006f0fcfff |
|
VISUAL
dHash
|
002f0725d81b1a00 |
|
VISUAL
wHash
|
ff8300000f0f8fff |
|
VISUAL
colorHash
|
06242001000 |
|
VISUAL
cropResistant
|
002f0725d81b1a00,59596ba8b8d8cccc,6865e4e4e00a1612,693982d2d6d2f860,d3c212021f35a381,a200851a9a9b9118,7852d87c7c9e068e,5bdbe92d46b6b99e,38b333131099f8f2 |
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 506 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)