Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184A3CC234219392A4437C3C1346A5B3BD1A6999FFEE70A404EDCCBFA2AF9C90745A15D |
|
CONTENT
ssdeep
|
768:YzULSntpR4nXF6YjOpSpFlTC6rrWoYwGuHYv58:YzUmntpR4nXBKpSpFl26vUOHYv58 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d29d3136d2f |
|
VISUAL
aHash
|
00030e2e2e0f01ff |
|
VISUAL
dHash
|
dcb77cdcdcbd7700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
bd377cd8dcbd7700,9cbf7cdcdcdcb377,d5534bc51e5b5a8d,4e8f9143434e4a5a,ec114c3232080041 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)