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German Research Center forArtificial Intelligence
Network SecurityNetwork Security
German Research Center forArtificial Intelligence
Malware - SummaryMalware - Summary
• Virus:– program which is included in other
programs and can reproduce itself• Worm:
– program that distributes itself via the network
• Trojan horse:– program that hides additional
functionality useful for an adversary• Rootkit:
– faked OS providing additional functionality (for an attacker) but simulating original OS (almost) perfectly: e.g. faked versions of ls, ps, nstat, etc.
German Research Center forArtificial Intelligence
Vulnerabilities all over the timeVulnerabilities all over the time
• see http://nvd.nist.govRecent CVE VulnerabilitiesCVE-2006-3349 Publish Date: 7/3/2006 Multiple SQL injection vulnerabilities in SmS Script allow remote attackers to execute arbitrary SQL commands via the CatID parameter in (1) cat.php and (2) add.php. CVE-2006-3348 Publish Date: 7/3/2006 Multiple SQL injection vulnerabilities in HSPcomplete 3.2.2 and 3.3 Beta and earlier allow remote attackers to execute arbitrary SQL commands via the (1) type parameter in report.php and (2) level parameter in custom_buttons.php. CVE-2006-3347 Publish Date: 7/3/2006 SQL injection vulnerability in index.php in deV!Lz Clanportal DZCP 1.3.4 allows remote attackers to execute arbitrary SQL commands via the id parameter. CVE-2006-3346 Publish Date: 7/3/2006 SQL injection vulnerability in tree.php in MyNewsGroups 0.6 allows remote attackers to execute arbitrary SQL commands via the grp_id parameter. CVE-2006-3345 Publish Date: 7/3/2006 Cross-site scripting (XSS) vulnerability in AliPAGER, possibly 1.5 and earlier, allows remote attackers to inject arbitrary web script or HTML via a chat line. CVE-2006-3344 Publish Date: 7/3/2006 Siemens Speedstream Wireless Router 2624 allows local users to bypass authentication and access protected files by using the UPnP (Universal Plug and Play)/1.0 component. CVE-2006-3343 Publish Date: 7/3/2006 PHP remote file inclusion vulnerability in recipe/cookbook.php in CrisoftRicette 1.0pre15b allows remote attackers to execute arbitrary PHP code via a URL in the crisoftricette^parameter. CVE-2006-3342 Publish Date: 7/3/2006 Cross-site scripting (XSS) vulnerability in index.php in Arctic 1.0.2 and earlier allows remote attackers to inject arbitrary web script or HTML via the query parameter in a search cmd. CVE-2006-3341 Publish Date: 7/3/2006 SQL injection vulnerability in annonces-p-f.php in MyAds module 2.04jp for Xoops allows remote attackers to execute arbitrary SQL commands via the lid parameter. CVE-2006-3340 Publish Date: 7/3/2006 Multiple PHP remote file inclusion vulnerabilities in Pearl For Mambo module 1.6 for Mambo, when register_globals is enabled, allow remote attackers to execute arbitrary PHP code via the (1) phpbb_root_path parameter in (a) includes/functions_cms.php and the (2) GlobalSettings[templatesDirectory] parameter in multiple files in the "includes" directory including (b) adminSensored.php, (c) adminBoards.php, (d) adminAttachments.php, (e) adminAvatars.php, (f) adminBackupdatabase.php, (g) adminBanned.php, (h) adminForums.php, (i) adminPolls.php, (j) adminSmileys.php, (k) poll.php, and (l) move.php. CVE-2006-3339 Publish Date: 7/3/2006 secure/ConfigureReleaseNote.jspa in Atlassian JIRA 3.6.2-#156 allows remote attackers to obtain sensitive information via unspecified manipulations of the projectId parameter, which displays the installation path and other system information in an error message. CVE-2006-3338 Publish Date: 7/3/2006 Cross-site scripting (XSS) vulnerability in Atlassian JIRA 3.6.2-#156 allows remote attackers to inject arbitrary web script or HTML via unspecified vectors in a direct request to secure/ConfigureReleaseNote.jspa, which are not sanitized before being returned in an error page. CVE-2006-3337 (cPanel)Publish Date: 7/3/2006 CVSS Severity: 4.7 (Medium) Cross-site scripting (XSS) vulnerability in frontend/x/files/select.html in cPanel 10.8.2-CURRENT 118 and earlier allows remote attackers to inject arbitrary web script or HTML via the file parameter.
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German Research Center forArtificial Intelligence
A Closer Look – CVE-2006-3344A Closer Look – CVE-2006-3344
• Digital Armaments advisory is 05.02.2006
• http://www.digitalarmaments.com/2006290674551938.html
• I. Background
• The SpeedStream Wireless DSL/Cable Router is usually adopted for home and small business solutions. Together with an existing DSL or cable modem connection, this affordable, easy to use connection sharing solution brings the freedom of high-speed, wireless broadband connectivity to home and SOHO networks. Its comprehensive functionality provides vital firewall protection, IP sharing capabilities, and fundamental routing features that support popular protocols like NetMeeting and VPN.
• For further information or detail about the software you can refer to the vendor's homepage:
• http://subscriber.communications.siemens.com/
• II. Problem Description
• Speedstream routers have UPnP/1.0 support. An attacker can access protected files and bypass the password protection without login using the UPnP part of the tree.
• III. Detection
• This problem has been detected on latest version of Siemens Speedstrem Router. It has been tested on the Speedstream 2624.
• IV. Impact analysis
• Successful exploitation allow an attacker to bypass the password protection. It also allow an attacker to access protected files without login.
• V. Solution
• First notification 05.02.2006.
• Second notification 05.20.2006.
• No answer from the vendor.
• VI. Credit
• Jaime Blasco - jaime.blasco (at) eazel (dot) es [email concealed] is credited with this discovery.
German Research Center forArtificial Intelligence
InternetInternet
• Internet as „the“ network• Based on the early 70th ARPA-network
(Advanced Research Projects Agency)
• Internet protocols– IP: internet protocol– ICMP: internet control message
protocol– TCP: transmission control protocol– ARP: address resolution protocols
German Research Center forArtificial Intelligence
TCP/IP - Model (a la ISO/OSI)TCP/IP - Model (a la ISO/OSI)
FTP, SMTP, HTTP
TCP, UDP
IP
Application-layer
Transport-layer
Network-layer
Data link-layer
Physical-layer
FTP, SMTP, HTTP
TCP, UDP
IP
bitstreams
frames
Packages, routing
Reliable protocol
German Research Center forArtificial Intelligence
IP – SecurityIP – SecurityPrivacyPrivacy
By 2010, driven by the improving capabilities of data analysis, privacy will become a meaningless concept in Western societies
Gartner group
If privacy is outlawed, only outlaws will have privacy
Phil Zimmermann
German Research Center forArtificial Intelligence
PhishingPhishing
• Social engineering (bank customers)• Faking web pages of bank
– mismatch of real and visible URLs• Requesting PIN/TAN from customers
German Research Center forArtificial Intelligence
Network Services - DNSNetwork Services - DNS
• Domain Network Service provides translation of host names (www.uni-sb.de) to IP-addresses (e.g.134.96.7.73)
• DNS-server provide two data bases:– IP-addresses -> host names (reverse lookup)– Host names -> IP-addresses (lookup)
• No mechanisms to secure consistency of tables!
• DNS-server are distributed
German Research Center forArtificial Intelligence
Pharmining - DNS-SpoofingPharmining - DNS-Spoofing
• Faking of the reverse -lookup table– Reverse lookup (e.g. for rlogin) provides Bobs host
name instead of Eve‘s for Eve‘s IP-address– Access to Alice‘s host if Bob is member of
/etc/hosts.equiv or in .rhosts– Countermeasure: forward and reverse lookup
• Sending faked update messages to the cache of DNS-server
• Manipulating C:\windows\system32\drivers\etc\hosts
German Research Center forArtificial Intelligence
Observations of Users in NetworksObservations of Users in Networks
X
eavesdropper
Switch
staff
XSwitch
staff
Link-to-link encryption:
German Research Center forArtificial Intelligence
Observation of Users in Observation of Users in Switched NetworksSwitched Networks
XSwitch
staff
Link-to-link encryptionEnd-to-end encryption of content
Problem of traffic data: who communicates with whom, how long, where?
German Research Center forArtificial Intelligence
Abilities of a Potential AttackerAbilities of a Potential Attacker
Worst case analysis:• Observation of all communication channels• Generation of new messages• Operating some network services (e.g. as an
anonymity service, as a web server, etc)
• No break of cryptographical systems• No attack on user‘s personal machine• Limited time and computing power
German Research Center forArtificial Intelligence
Anonymity and UnobservabilityAnonymity and Unobservability
Anonymity:• Sender and/or receiver stay anonymous to each
other
Unobservability:• All parties cannot trace communication relations• Sending and receiving of messages is
unobservable
Pseudonym:• identity can only be revealed in special cases
German Research Center forArtificial Intelligence
Anonymity and UnobservabilityAnonymity and Unobservability
Need for a group of users where all users behave similarily
Events
Anonymity group
Everybody can be the originator of an event with equal possibility
German Research Center forArtificial Intelligence
Simple ProxiesSimple Proxies
• Proxy gets an URL on behalf of the user• Server has no information about the real originator of
the request
• Examples: – Anonymizer.com (Lance Cottrel)– Aixs.net– ProxyMate.com (Lucent, Bell Labs)
User ServerProxy
German Research Center forArtificial Intelligence
Problems with Simple ProxiesProblems with Simple Proxies
• No protection against the operator • No protection against traffic analysis
– Timing correlation of incoming and outgoing requests
– Correlation by message length and coding
User 1
User 2
User n
...
httpproxy
GET page.html
GET page.html
German Research Center forArtificial Intelligence
Possible AttacksPossible Attacks
• Timing attacks:– Observe duration by linking possible endpoints of
communication, wait for a correlation between events at endpoints
• Message volume attacks:– Observe the amount of transmitted data
• Flooding attacks:– Almost all messages except the message to be
observed are created by the attacker• Linking attacks:
– Observe intersections of anonymity groups due to on/off-line periods (profiles)
German Research Center forArtificial Intelligence
BroadcastBroadcast
Message is sent to all participants
But only one person is able to read it
German Research Center forArtificial Intelligence
Mixes (David Chaum, 1981)Mixes (David Chaum, 1981)
• Collect messages in batches, change their coding and forward them at the same time but in different order
• Use of various mixes• If one mix is not corrupt then perfect
unlinkability of sender and receiver
German Research Center forArtificial Intelligence
Internals of MixesInternals of Mixes
Discard message repeats
Store incoming messages
Changecoding
Reordermessages
Wait for aSufficientNumber
Mix
Avoid replay attacks
German Research Center forArtificial Intelligence
Encryption of MessagesEncryption of Messages
• ci encryption with public key of Mixi
• Ai address of Mixi
• M message to be sent• ri : random numbers (to ensure indeterminism)
A1, c1(A2, c2(M, r2), r1)
A2, c2(M, r2),
M
German Research Center forArtificial Intelligence
Real Time AspectsReal Time Aspects
• Mixes are good for non-real time communication: E-mail
• Problems with real-time applications like net-phone, ftp, www– Sampling messages yields high delay– Message length vary in a very large interval
or no support of connection oriented services
German Research Center forArtificial Intelligence
Traffic padding and Time SlicesTraffic padding and Time Slices
Waiting time
Traffic padding
Sending of random data to cover last message
Waiting time
Traffic padding
German Research Center forArtificial Intelligence
Dummy TrafficDummy Traffic
• Users (not Mixes) send messages all the time• Nobody can distinguish between encrypted
messages and faked ones (random numbers)• Increases amount of traffic if necessary• Avoiding high delay of messages
German Research Center forArtificial Intelligence
Flooding and AttacksFlooding and Attacks
• Flooding Attacks:– Introduction of tickets to be processed by a
Mix– Only one message of a user in one branch– Attacker needs help of other users
• Long-time observation:– Intersection of anonymity groups– No good solution known for this attack
German Research Center forArtificial Intelligence
IP – SecurityIP – SecurityAvailability, IntegrityAvailability, Integrity
German Research Center forArtificial Intelligence
Internet Control Message ProtocolInternet Control Message Protocol
• Transfer of error- and status- messages– destination unreachable: unreachable port (host)
• Forged message may cause abortion of all traffic to this hosts
– fragmentation needed• Continuing generation of faked message causes denial of
service
– Redirect : to change routing behaviour• Rerouting of all packets of a host via a malicous host
– Source quench : to reduce traffic caused by a host• faked message causes denial of service
German Research Center forArtificial Intelligence
Address Resolution Protocols (ARP)Address Resolution Protocols (ARP)
• Translating IP-names (e.g. 134.96.88.122) to real physical addresses (eg. 00:A0:C9:44.BA.20) inbuilt in the firmware of physical device
• ARP address-table of the router– Updated via broadcast messages („Who is?“)
• Masquerading: faked answers to broadcast messages• Denial-of-service: request for non-existing host is
broadcasted through gateways. Malicious host may even redistribute requests coming back!
German Research Center forArtificial Intelligence
TCP - ConnectionsTCP - Connections
• Logical connections between ports
• TCP-packet contains:– 32bit-addresses of sender and receiver– 32bit sequence number
• Randomly generated
• 3-phased handshake:
– Client -> Server: Seqc
– Server -> Client: SeqS, Ack = Seqc + 1
– Client -> Server: Ack = SeqS + 1
– Client -> Server: Data
German Research Center forArtificial Intelligence
Security in TCP - Sequence numbersSecurity in TCP - Sequence numbers
• Masquerading using sequence number attacks:
– To incorporate a malicious packet into an ongoing communication the intruder has to know the sequent number
– Implementations use 32bit counter to generate sequence number (instead random numbers)(counter is incremented every second by 1, new connections will increment counter by 64)
– Sequence numbers can be guessed
German Research Center forArtificial Intelligence
Security in TCP - Sequence numbersSecurity in TCP - Sequence numbers
• Eve -> Alice: Port 25, SeqEve
• Alice -> Eve: Ack: SeqEve + 1, SeqAlice
Guessing seqAlice‘ :
• Eve as Bob -> Alice: Port 513, SeqEve‘
• Alice -> Bob: Ack: SeqEve‘ + 1, SeqAlice‘
• Eve as Bob -> Alice: Ack: SeqAlice‘ + 1
Problem: answers of Bob are sent to Alice:Additional attack neccessary to flood Alice with requests to prevent Alice from sending reset- packets
German Research Center forArtificial Intelligence
Security Problems in IP: Denial of ServiceSecurity Problems in IP: Denial of Service
Address spoofing – Examples of denial of service:
– UDP-flood attack:• Eve sends UDP-packet with faked return-address• Target machine sends echo-packets to machine
of return address which echos etc...
– SYN-flood attack:• Eve sends SYN-packets with faked return
addresses of non-available machines• Target sends SYN-Ack packets• Overflow of SYN-stack
German Research Center forArtificial Intelligence
Distributed Denial of ServiceDistributed Denial of Service
Attack Attack
Attack
Attacker
Agent
Handler
Stepping stones
German Research Center forArtificial Intelligence
Intrusion Detection SystemsIntrusion Detection Systems
Intrusion Detection is the process of identifying and responding to malicious activity targeted at computing and network resources
Edward Amoroso
German Research Center forArtificial Intelligence
Intrusion Detection SystemsIntrusion Detection Systems
• Monitoring:– Examine and process information about
activities on the target system• Reporting:
– Report information about monitored system into a system security infrastructure
• Responding:– Respond to detected intrusion
German Research Center forArtificial Intelligence
Dimensions of IDSDimensions of IDS
• Analysis approach:– Attack signature detection identifies
patterns corresponding to known attack– Types of attacks have to be known in
advance
• Anomaly detection:– Identifies unacceptable deviation form
expected behaviour using profiles– Can respond to previously unknown types of
attacks
German Research Center forArtificial Intelligence
Methods of IDS Methods of IDS
• Audit trail processing:– Existing log-files are examined by IDS – Off-line– Auditable events, auditable information, audit basis– Example: Unix Syslog Audit Processing
• On-the-fly processing („network intrusion detection“)– Monitoring of traffic in real-time– Suspicious string patterns „/etc/passwd“– Signatures of abnormal behaviours – Warnings before damage can occur
German Research Center forArtificial Intelligence
Methods of IDS (II)Methods of IDS (II)
Anomality Detection
• Profiles of normal behaviourCapturing expectations about user and
system computing and networking activities– Estimation of initial profile– Fine-tuning of profiles– Profiling using all-source information
German Research Center forArtificial Intelligence
Architecture of an IDSArchitecture of an IDS
• Sensor: Provides necessary information about target• System management: maintain control over internal
components, communication with over IDS• Processing engine: reduction of irrelevant data, identification
of key intrusion evidence, decision-making of type of response• Knowledge base: profiles of user and data, attack signatures• Audit archive: storage of target system activities• Alarms• GUI
German Research Center forArtificial Intelligence
Intrusion ResponseIntrusion Response
• Identification of the attacker– DNS ???– Identification of intermediate hosts
• Preventing damages– Closing ports and network connections– Counter attack by denial of service attack ???
• Repair of existing damages– Loss of integrity, accessability,
authentication, privacy?
German Research Center forArtificial Intelligence
FirewallsFirewalls
• All traffic between intranet and open network is controlled by the firewall
• Security strategy, access control, protocols, authentication
Firewall Open network(Internet)
Intranet
e.g. router
German Research Center forArtificial Intelligence
Types of Firewalls Types of Firewalls
• Packet filter– Controlling IP (TCP) packets
• Circuit-level gateway– Operates on transport layer
• Application-level gateway (proxy server)– Operates on application layer– Can analyse application data
German Research Center forArtificial Intelligence
Packet FiltersPacket Filters
• Filters packets (TCP / IP) according to a security policy based on header information
• No internal state• Accessable information:
– Sender/receiver addresses, ports, options, ack-bit, type of protocol, ...
sender receiv. port proto. action reason* * 53 UDP ok DNS-queriesExtern intern 123 UDP ok NTP-access* * 69 UDP no no TFTPExtern * 513 TCP no no rlogin from outside
Rules:
German Research Center forArtificial Intelligence
Packet Filters - Pros and ConsPacket Filters - Pros and Cons
• Easy and cheap to implement• Transparent for upper layers• Prevents some IP-spoofing and router attacks
But:• Uses possibly faked IP-addresses and ports• No detailed filtering (e.g. according to users)• Error-pruned specification of filter table
– Large, unreadable tables– Need for tools
German Research Center forArtificial Intelligence
Circuit-level GatewayCircuit-level Gateway
• Controls the transport layer• Operates as client for the server and as server
for the client (proxy - server)• Provides generic proxy services• Has internal state and protocols activities• Example: SOCKS - gateway (Hummingbird)
– Provides socket access via rconnect, rlisten and rbind through gateway with authentication
German Research Center forArtificial Intelligence
Circuit-Layer Gateway - Circuit-Layer Gateway - Pros and Cons Pros and Cons
• Independent of applications• Allows for filtering of existing connections• Authorization and logging• Filtering of UDP services possible
But:• Do not consider application specific information
– Cannot distinguish http-content• Modification of application necessary
German Research Center forArtificial Intelligence
Application FilterApplication Filter
• Operating on application layer• Proxies for telnet, ftp, smtp, http, ...• Provides application specific knowledge
– E.g. ftp-proxy knows about ftp-commands– http-proxy about activeX, Javascript, JAVA...
• Internal state and logging
German Research Center forArtificial Intelligence
Application Filter - Pros and ConsApplication Filter - Pros and Cons
• Allows for sophisticated authentication and controlling (e.g. generating profiles)
• Accounting and logging of accesses– Intrusion Detection Systems
• Fine granular rules possible
But:• Individual fiter for each service - Automation ?• Based on unreliable lower layers
German Research Center forArtificial Intelligence
Architecture of FirewallsArchitecture of Firewalls
Intranet
Packet filter
Application filter
Dual-Home Firewall
Dua
l-Hom
e B
astio
n
InternetPacket filter
Intranet
NTP-server
Application filter
Internet
Screened-Host Firewall
German Research Center forArtificial Intelligence
Architecture of Firewalls (II)Architecture of Firewalls (II)
Internalhost
Application filterInternetPacket filter
Screened-Subnet Firewall
Internalwww-server
InternalDNS-server DNS
server
WWWserver
Packet filter
German Research Center forArtificial Intelligence
Firewalls - SummaryFirewalls - Summary
• Security mechanisms concentrated at one point• Fine-granular policies can be implemented• Logging features to create profiles
But:• Difficult to come up with consistent configuration• Continuous maintenance necessary• Problems with tunneling• Mobile devices: Laptops, Palms etc
German Research Center forArtificial Intelligence
IP – SecurityIP – SecurityAuthenticationAuthentication
German Research Center forArtificial Intelligence
Security Problems in IP - AuthenticationSecurity Problems in IP - Authentication
• Address - Spoofing:
– Faking the sender address in IP-packets
Alice.uni-sb.de(134.96.12.102)
Eve.evil.org(188.88.88.88)
Bob.uni-sb.de(134.96.12.104)
/etc/hosts.equiv :
Bob.uni-sb.de
From: 134.96.12.104To: 134.96.12.102
IP
German Research Center forArtificial Intelligence
Secure Socket Layer (SSL)Secure Socket Layer (SSL)
• SSL operates on top of the transportation layer• Developed by Netscape according the
recommendations of the OSI - security architecture • Authentication of communication partners
– Assymmetric encryption• Private communication
– Symmetric session keys• Integrity of messages
– Message Authentication Codes (MAC)• Encryption- and hashing algorithms are negotiated
between communication partners
German Research Center forArtificial Intelligence
SSL - OverviewSSL - Overview
TCP IP
SSL-Record
SSL-Handshake
Telnet, Ftp, http, Smtp,
TCP IP
SSL-Record
SSL-Handshake
Telnet, Ftp, http, Smtp,
Fragmentation of data,Compression,Computation of MACsand session-keys,Encryption of records
Authentication of partnersExchange of secrets
German Research Center forArtificial Intelligence
SSL - Handshake ProtocolSSL - Handshake Protocol
• Agree in SSL-communication by using specific ports:443 (https), 456 (ssmtp), 990 (ftps), 992 (telnets)
Client Hallo
ServerHelloCertificate (optional)ServerKeyExchange (optional)Certificate Request (optional)ServerHelloDone
Certificate (optional)Client Key ExchangeCertificate Validate (optional)ChangeCipherSpecFinished
ChangeCipherSpecFinished
Use Data
German Research Center forArtificial Intelligence
SSL - Handshake ProtocolSSL - Handshake Protocol
• ClientHello: timestamp (32bit), Nonce RC (28bit), SessionID, list of prefered encryption algorithms
• ServerHello: timestamp(32bit), Nonce RS, list of prefered encryption algorithms of client
• Certificates according X.509• ServerKeyExchange: temporary public key PKS (RSA) • ClientKeyExchange: 48bit secret „pre“ encrypted with PKS
(or public key of client in case of DiffieHellman)• Computing the master secret
MD5(pre, SHA(„A“ . pre . RC . RS)) | MD5(pre, SHA(„BB“ . pre . RC . RS)) | MD5(pre, SHA(„CCC“ . pre . RC . RS)) to compute secret keys
• Finished messages incorporate MAC/SHA of all previous message parts
German Research Center forArtificial Intelligence
Security of SSLSecurity of SSL
• SSL allows for an authenticated and private communication without manipulations
• Finished messages prevent man-in-the-middle attack
• Depends on used cryptographical algorithms (MD5? HMAC!)
• No use with application filter • TLS (transport level security) as „internet
standard“ based on SSL 3.1
German Research Center forArtificial Intelligence
IPSecIPSec
„Suite“ of protocols to secure network connections
• Allows for different encryption and authentication methods
• Integrity (authentication) and secrecy (encryption)
• Operates on the IP – level• IKE : Internet Key Exchange
German Research Center forArtificial Intelligence
IPSec - AlternativesIPSec - Alternatives
• AH („Authentication Header“): authentication vs.ESP (Encapsulating Security Payload): encryption + authentication
• Tunnel mode (total IP-packet) vs. transport mode (payload only)
• Different cryptographical choicesMD5, SHA-1…3DES, AES, Blowfish, …
• IKE (Internet Key Exchange) protocol vs. manual setup
German Research Center forArtificial Intelligence
Authentication Header – Transport ModeAuthentication Header – Transport Mode
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
TCPTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
DATA
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
IHTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
DATA
Version AH-lenTCP ReservedSecurity Parameter Index
Sequence NumberAuthentication Data
Original IP-packet
IPSec-packet
Protected by Authentication Data
Changed entries
German Research Center forArtificial Intelligence
Authentication Header – Tunnel ModeAuthentication Header – Tunnel Mode
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
TCPTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
DATA
Version AH-lenIP ReservedSecurity Parameter Index
Sequence NumberAuthentication Data
IPSec-packet
Protected by Authentication Data
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
AHTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
German Research Center forArtificial Intelligence
ESP – Transport ModeESP – Transport Mode
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
TCPTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
DATA
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
ESPTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
Data
Security Parameter IndexSequence Number
Authentication Data
Original IP-packet
IPSec-packet
Encrypted Data
Changed entries
TCPpad-len
German Research Center forArtificial Intelligence
ESP – Tunnel Mode: VPNESP – Tunnel Mode: VPN
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
TCPTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
DATA + Padding
Security Parameter IndexSequence Number
Authentication Data
IPSec-packet
Encrypted data
Version Hdr.len TOSVersionIdentification
Length (max. 64k)Flags Fragment-Offset
ESPTime to Live Header checksum
Padding
Address of receiverAddress of sender
IP-options
Authenticated data
Changed entries