| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Kakadu SDK 7.9 and classified as critical. This vulnerability affects unknown code of the component JPEG 2000 Image Parser. This manipulation causes out-of-bounds write. This vulnerability appears as CVE-2017-2811. The attack requires local access. There is no available exploit.
Details
A vulnerability was found in Kakadu SDK 7.9. It has been declared as critical. Affected by this vulnerability is an unknown part of the component JPEG 2000 Image Parser. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. The CWE definition for the vulnerability is CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
A code execution vulnerability exists in the Kakadu SDK 7.9's parsing of compressed JPEG 2000 images. A specially crafted JPEG 2000 file can be read by the program, and can lead to an out of bounds write causing an exploitable condition to arise.
The bug was discovered 08/04/2017. The weakness was presented 04/24/2018 by Aleksandar Nikolic with Cisco Talos (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is known as CVE-2017-2811 since 12/01/2016. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
The vulnerability was handled as a non-public zero-day exploit for at least 263 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 100141†). See VDB-117044 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CNA Base Score: 8.8
CNA Vector (Talos): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Out-of-bounds writeCWE: CWE-787 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/01/2016 🔍08/04/2017 🔍
08/04/2017 🔍
04/24/2018 🔍
04/24/2018 🔍
04/25/2018 🔍
03/07/2023 🔍
Sources
Advisory: securityfocus.com⛔Researcher: Aleksandar Nikolic
Organization: Cisco Talos
Status: Not defined
CVE: CVE-2017-2811 (🔍)
GCVE (CVE): GCVE-0-2017-2811
GCVE (VulDB): GCVE-100-117043
SecurityFocus: 100141 - Kakadu SDK CVE-2017-2811 Buffer Overflow Vulnerability
See also: 🔍
Entry
Created: 04/25/2018 10:19Updated: 03/07/2023 10:56
Changes: 04/25/2018 10:19 (59), 01/31/2020 09:24 (5), 03/07/2023 10:56 (14)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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