Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E234A726336B8B843DB92DEF7382D56B1C69499E8C74550F5C89ACD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aB+EsZx8/G84QRsMDVSCMiBsoStMiBsk3Uuix+y9dQpUDF1E56ITmHTCd3m6DPqa:aB+EsZ/846dDVSCMiBtStMiBD3Uxx+ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4ab4a5b4b4a4da |
|
VISUAL
aHash
|
fff9f999f9b1bbff |
|
VISUAL
dHash
|
2ac331333b634309 |
|
VISUAL
wHash
|
fff9000881113dff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
2ac331333b634309,630743746f17ce4d,219024b2b2320c51 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)