Authentication, Authorization, and Accounting Mike Scher Director of Labs Neohapsis, Inc 1 Or, Who, What, How, When, and Where Tech 102 2 Neohapsis 101 - Who we are and what we do • Information Security Consultancy with an emphasis on R&D and QA/QC • Network Computing Magazine's Chicago Lab • Producers of the SANS Security Alert Consensus Newsletter (SAC) 3 101 Recap • The Internet is “Packet-switched” • To/From numeric “IP” Addresses go on all packets of information • Domain names help users remember systems and networks, but map to IP addresses • Packets travel through several “hops” of routers along the way • Many systems automatically log information about usage (client and server may both retain logs or copies of data) • Trap and trace can pick up IP addresses of users accessing systems 4 “AAA” • What is Authentication? – How does it work? – How can it fail? • What is Accounting? – How does it depend on Authentication? – What is its utility? • What is Authorization? – How does it depend on Authentication? – Where and how do authorization systems work? 5 Overview: Encryption • What it is and what it isn’t • General Kinds of Encryption • How and Where Encryption is: • Used • Misused • Abused 6 Encryption (cont.) • Kinds of Crypto, generally – Symmetric (e.g., shared secret key) • The key used to encrypt (lock) is the same as the key used to decrypt (unlock) • DES, Triple-DES (3DES), AES, IDEA, Blowfish, Twofish – Asymmetric (e.g., public key) • A key different from the key used to encrypt (lock) is used to decrypt (unlock) • In public key cryptography, the key used to encrypt can be published widely with no negative impact on the security • Lockbox example 7 Encryption (cont.) • Where is crypto used? – Asymmetric • “Secure” web pages (SSL) – public key is called a “certificate” • PGP (“Pretty good privacy”) – widely used public key system – Symmetric • “Secure” web pages (SSL) – after the session is set up with the public key, a secret key is exchanged and the session streams using a symmetric algorithm • PGP (“Pretty good privacy”) – widely used public key system • To “one-way encrypt” (hash) passwords in a password file • Most file and disk encryption programs 8 Encryption (cont.) • Asymmetric Encryption with Public Key Cryptography – A uses B’s PUBLIC key to send to B – B uses B’s PRIVATE key to read it – B uses A’s PUBLIC key to respond 9 Encryption (cont.) • Where is crypto misused? – Weak crypto used to “protect” sensitive communications – Poorly implemented cryptography • Keys stored where they can be retrieved, stolen, snooped • Strong cryptography in a shoddy application • Strong cryptographic algorithm with poorly generated key 10 Encryption (cont.) • Where is crypto abused? – Marketing! • “Proprietary” encryption algorithms – Even if they are “patented” and “unbreakable,” too – No public review = low chance of real security • One-time Pads – True that, properly done, they are extremely strong – Manageability and limited utility makes them almost useless for real-world applications outside espionage arenas – “Throwaway” crypto • Mere obfuscation passed off as encryption • Clever people reinventing the wheel… and the problems 11 Authentication • User identification – Who do you claim to be? – Note the use of the term claim – Examples: • • • • a userid: a name: a SS#: An e-mail address: “jsmither” “Joshua Smither” 111-11-1111 jsmither@example.com – Not always unique, even on the system 12 Authentication (cont.) • User identification + Something else = – Reasonable association of the person with the ID presented – Why “reasonable”? • • • • All access controls can be defeated Many can be “spoofed” Reasonability depends (ideally) on a risk analysis What does the ID guard? 13 Authentication (cont.) • PLUS Something else (How can I reasonably assume you are who you claim to be?) – – – – – – – Password Digital Certificate “One-time” password (e.g., tokens) Biometric ANI Physical locality (including IP address) Combination of above 14 Passwords • Passwords: – Can be “weak” or “strong” (vs. guessing or “cracking”) • Weak: • Strong: mouser1 (guessable) r!verb3d (crackable) 9i63vDvKHp41b – Problem with passwords: • When they are memorable, they are weak • When they are strong, they are unmanageable • People almost always either pick weak passwords or they record their passwords someplace handy (perhaps protected by a single password) 15 Digital Certificates • Digital Certificate – Based on the huge, unpredictable product of two very large, prime numbers – Public/Private Key encryption • A uses B’s PUBLIC key to send to B • B uses B’s PRIVATE key to read it • B uses A’s PUBLIC key to respond 16 Digital Certificates (cont.) -----BEGIN CERTIFICATE----MIIDxDCCAy2gAwIBAgIBADANBgkqhkiG9w0BAQQFADCBozELMAkGA1UEBhMCVVMx ETAP5thsbAgTCElsbGlub2lzMRAwDgYDVQQHEwdDaGljYWdvMRIwEAYDVQQKEwlO ZW9oYXBzaXMxFzAVBgNVBAsTDk5lb2hhcHNpcyBMYWJzMRkwFwYDVQQDExBjYS5u ZW9oYXBzaXMuY29tMScwJQYJKoZIhvcNAQkBFhhob3N0bWFzdGVyQG5lb2hhcHNp cy5jb20wHhcNMDExMTE2MDA0MTA0W7hdtyExMTE0MDA0MTA0WjCBozELMAkGA1UE BhMCVVMxETAPBgNVBAgTCElsbGlub2lzMRAwDgYDVQQHEwdDaGljYWdvMRIwEAYD VQQKEwlOZW9oYXBzaXMxFzpol91VBAsTDk5lb2hhcHNpcyBMYWJzMRkwFwYDVQQD ExBjYS5uZW9oYXBzaXMuY29tMScwJQYJKoZIhvcNAQkBFhhob3N0bWFzdGVyQG5l b2hhcHNpcy5jb20wgZ8wDQYJKoZIhvcNAQEBBQADgY0AMIGJAoGBANn6Cz0ypg/m dAjEqiGA2A/e++ffpuk69akqCIdfkjC6YtG/DKIgR8M7pjPldUPWaJxPZbnjTprx OJylGLGl8n7RpqCi3ZM7MCi5VJ66B/ImxCAXhLnE0FJV/i3ONlwEQq5/voYwvv4z JL0+H2IMMvC1iltw8shH1ZqhUSXyIlIhAgMBAAGjggEEMIIBADAdBgNVHQ4EFgQU r9QFcUHlpDEMt8/8MmAjtu+/Z8cwgdAGA1UdIwSByDCBxYAUr9QFcUHlpDEMt8/8 Mm8jtu+/Z8ehgamkgaYwgaMxCzAJBgNVBAYTAlVTMREwDwYDVQQIEwhJbGxpbm9p czEQMA4GA1UEBxMHQ2hpY2FnbzESMBAGA1UEChMJTmVvaGFwc2lzMRcwFQYDVQQL Ew5OZW9oYXBzaXMgTGFiczEZMBcGA1UEAxMQY2EubmVvaGFwc2lzLmNvbTEnMCUG CSqGSIb3DQ87bd3YaG9zdGwta52lckBupl81wXBzaXMuY29tggEAMAwGA1UdEwQF MAMBAf8wDQYJKoZIhvcNAQEEBQADgYEAdQ+FklXZfla9kehgwJmiIqGfwVOzVDdP 3IKIuRjGIOO3vYY0oKUWVWDF943MPqugCjx7pIcqezmkRxOIn+pjC3EnOC4H7HNo JAX9avjxH9Wj39M+7y0OS8b471mIxBi3E5BVaMDCHmLbM3+4XQDd8rZZHGn/RWBM UOYJ8wNhMPs= -----END CERTIFICATE----- 17 Tokens and Smart Cards • Tokens (“One-Time Passwords”) – Brands: • • • • SecurID Axent (Symantec) Defender SecureComputing Safeword Cryptocard • Smartcards – “Memory” Smart Cards strore information (such as a Digital Certificate) – ‘True” Smart Cards do the math internally 18 Biometrics • Familiar territory in forensics work • The goal is, ultimately, to do what we do in “real life” – to recognize the person • Convergence (accuracy of readers) remains a critical issue with fairly high false negatives and some disturbing false positive numbers in recent testing 19 Locality • Door-mounted card readers, hand-print readers, keypads, etc. • Car door PIN locks • Keys in locks • ANI (“Automatic Number Identification”) • Secure terminals in secure locations • IP addresses (in some cases) 20 Logs (audit trails) and Authentication • System logs of “who was on what system when” depend on Authentication credentials of the user • Authentication credentials are often combined for greater assurance – password + biometric + locality – token(one-time password) + password + locality 21 Intrusion Detection Systems • Misuse detection vs. Anomaly detection • Host based (HIDS) vs. Network based (NIDS) – HIDS: Active Audit trail monitoring – NIDS: Snooping network traffic for signs of malfeasance • Almost all report to a central collection, correlation and alert-generating server • Useful as an early-warning system and for trending trouble areas • Useful for some types of after-the-fact damage analysis 22 Problems in Authentication as evidence • Username/Password – Easily stolen when sent “in clear” – Or via “trojan horse” programs, worms, viruses – Often guessable • IP address – Spoofable for some kinds of connections – Doesn’t establish that the user initiated the action 23 Problems in Authentication as evidence (cont.) • Digital Certificates – Large password protected by a small password – File can be taken just like any other – User’s password to activate the certificate may be • Guessed • Cracked • Snooped – More like a “rubberstamp” signature in a locked drawer • But owner may have no indication of its theft • Rebuttable presumption of identity unlikely to ever be rebutted 24 Problems in Authentication as evidence (cont.) • Biometrics – Biometrics are static, and easily copied once known – Never-ending escalation of spoofing tricks against the reader, never-ending need to upgrade readers – Remote biometric authentication raises issues • Credentials injected into the stream • Biometric readers use a variety of cryptographic methods to ensure data integrity and reader legitimacy • At that point, biometrics are a fixed password in a public-key authentication system 25 Authentication as Evidence • Combining unintended authenticators with intentional authenticators increases evidentiary value: • Example: DNR + time of day + IP + username and password + files found on user’s system 26 Problems in Authentication as evidence (cont.) • DNR + IP + time of day + username and password + files found on user’s system – Was it the user? – Or was it a worm? – Or was it an electronic intruder using the person’s computer? • Other, circumstantial evidence may defeat such assertions 27 Authorization • Once we know (reasonably) who it is, we need to decide what they can access, and how. – – – – – Servers Networks Applications Files (data) Actions 28 Authorization Systems • Access Control Lists (ACLs) – – – – On Firewalls On Gateways and Routers On Servers On Workstations 29 Firewalls • Help provide an initial layer of defense at boundaries • Provide network accounting mechanisms • Can be used as a broad access control device • Some firewalls can do ACL and patternbased content and many perform virus filtering 30 Firewalls (cont.) 31 Firewalls (cont.) • • • • • All firewalls are not created equal There is no “best” firewall Don’t solve host/server-level problems Often provide a false sense of security Have a history of their own security problems 32 The Big, Bad Internet CSPM Router DMZ HUB Cat6006 w/IDS Sniffer WEB SonicWall HA NIDS blade SQL Database Server VPN Syslog Wirless Accss Point Corporate Internal Network Internal Users Wireless User/Attacker 33 Gateways and Routers • Whose traffic goes where… and how? • Gateways include – Firewalls – Routers • Acting as traffic cops • Control direction, speed • Can help control IP “spoofing” – Virtual Private Network (VPN) gateways 34 VPNs • VPN: – Simulate a point-to-point, dedicated telco line as closely as reasonably possible • Identify user or remote network (authentication) • Limit access (authorization) • Log accesses and violations (accounting) 35 36 37 VPNs (cont.) • Inherently serve one real purpose: – Make doing a very risky thing as safe as reasonably possible • Then why do we use them? – Costs – Also, costs – Oh, and costs, too. 38 VPNs (cont.) (Not to mention, costs.) • The Big Myths about VPNs: – – – – inherently add security authenticate end-users ensure authorized use always less expensive than dedicated telco connectivity 39 VPNs (cont.) • Risks (especially in connecting a home user to the enterprise network) are significant – Privacy of the connection and authentication traffic – Theft/compromise of authentication credentials – End user’s system used as live gateway to private network after the user authenticates – End user fooled into authenticating to trojan gateway – Store-and-forward (time-delayed) attacks from compromised end-user system 40 The Upshot • Defense in depth is becoming the new best practice in most industries – – – – – Use firewalls at least at corporate borders Use IDS internally and at borders Secure servers and put IT policies in place to maintain their security Use strong authentication devices for all remote access Use VPNs with strong authentication and limit remote users’ capabilities • Never assume a product is so secure that it is all you need for security – even a firewall • IT staff need to get and stay up to date, reviewing new issues almost on a daily basis • Manage IT risks as a part of conducting business 41 Questions ? 42 URLs • Us: http://www.neohapsis.com • Many security mailing list archives: http://archives.neohapsis.com • Security Alert Consensus (SAC): http://www.sans.org/sansnews • Mike: mscher@neohapsis.com 43