Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0524033A200CD2A4EAB55CCF2C4A588455EC345EB3248CB71A491FFBBC5DF069A57AD |
|
CONTENT
ssdeep
|
192:MoKYc5cnchmBg0AP5m7OTLxABepMcnthWeNWb1Aq/fMmUU8VCo2:rc5cnchmBg0AhmyCBeiAwfMmUFCo2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89dc267389fcc899 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
904cb2b2b2320ee3 |
|
VISUAL
wHash
|
783cff3f1f9e0000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8ac8e2a28232b2c0,904cb2b2b2320ee3 |
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)