Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE235B72A332B8B843DB92DEF7382E56B2D65499E8C74590F1C996CD23C3C8161877B4 |
|
CONTENT
ssdeep
|
768:aR+EsZx8/G8oQRsPDVSLMwBkoSoMwBkCUuix+y9dQpUDF1E56ITmHTCd3m6DPqDW:aR+EsZ/8o6gDVSLMwBlSoMwBLUxx+y94 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf5ac0c2c672721e |
|
VISUAL
aHash
|
fc9f878fbfcf8fff |
|
VISUAL
dHash
|
49313d7961193936 |
|
VISUAL
wHash
|
ac9f87879f818193 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
49313d7961193936 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)