Addi Cuotas que se adaptan a ti buy-now-pay-later-Addi Plugin Password Recovery Page hard-coded credentials
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Addi Cuotas que se adaptan a ti buy-now-pay-later-Addi Plugin up to 2.0.4 on WordPress. This vulnerability affects unknown code of the component Password Recovery Page. The manipulation leads to hard-coded credentials. This vulnerability is documented as CVE-2026-27073. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in Addi Cuotas que se adaptan a ti buy-now-pay-later-Addi Plugin up to 2.0.4 on WordPress. It has been rated as critical. This issue affects some unknown functionality of the component Password Recovery Page. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. Using CWE to declare the problem leads to CWE-798. The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Use of Hard-coded Credentials vulnerability in Addi Addi – Cuotas que se adaptan a ti buy-now-pay-later-addi allows Password Recovery Exploitation.This issue affects Addi – Cuotas que se adaptan a ti: from n/a through <= 2.0.4.
The weakness was released by Jarno Vos. It is possible to read the advisory at patchstack.com. The identification of this vulnerability is CVE-2026-27073 since 02/17/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 04/01/2026). The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.
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
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.3
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
ADP CISA Base Score: 7.5
ADP CISA 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: 🔍
Exploiting
Class: Hard-coded credentialsCWE: CWE-798 / CWE-259 / CWE-255
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
02/17/2026 CVE reserved03/25/2026 Advisory disclosed
03/25/2026 VulDB entry created
04/01/2026 VulDB entry last update
Sources
Advisory: patchstack.comResearcher: Jarno Vos
Status: Not defined
CVE: CVE-2026-27073 (🔒)
GCVE (CVE): GCVE-0-2026-27073
GCVE (VulDB): GCVE-100-353411
Entry
Created: 03/25/2026 20:03Updated: 04/01/2026 03:38
Changes: 03/25/2026 20:03 (56), 04/01/2026 03:38 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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