| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in libsixel 1.8.4. The affected element is the function gif_out_code of the file fromgif.c. The manipulation leads to out-of-bounds write.
This vulnerability is listed as CVE-2019-20140. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability was found in libsixel 1.8.4. It has been rated as critical. This issue affects the function gif_out_code of the file fromgif.c. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. Using CWE to declare the problem leads to CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
An issue was discovered in libsixel 1.8.4. There is a heap-based buffer overflow in the function gif_out_code at fromgif.c.
The weakness was presented 12/30/2019. The identification of this vulnerability is CVE-2019-20140 since 12/30/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.6
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
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: No
Local: No
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
12/30/2019 🔍12/30/2019 🔍
12/31/2019 🔍
03/18/2024 🔍
Sources
Advisory: 122Status: Not defined
CVE: CVE-2019-20140 (🔍)
GCVE (CVE): GCVE-0-2019-20140
GCVE (VulDB): GCVE-100-147923
Entry
Created: 12/31/2019 10:37Updated: 03/18/2024 15:09
Changes: 12/31/2019 10:37 (35), 12/31/2019 10:42 (17), 03/18/2024 15:09 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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