Mr. Ian Harris reports

COPPER GIANT IDENTIFIES THIRTEEN TARGETS BEYOND THE MOCOA RESOURCE AND ITS INTERPRETED EXTENSIONS

Copper Giant Resources Corp. has released the results of an independent geophysical modelling and predictive targeting study completed by Mira Geoscience Ltd. over its Mocoa copper-molybdenum porphyry project in Putumayo, Colombia. The study covers an 81-square-kilometre area centred on the Mocoa deposit and defines 17 ranked target areas, 13 of them beyond the current resource footprint and its interpreted extensions. Drilling continues at La Estrella, and the preliminary economic assessment (PEA) remains on plan for delivery in the fourth quarter of 2026.

Highlights

• A billion-tonne deposit, and geology that supports looking beyond it: Mocoa hosts an inferred resources of 12.7 billion pounds (Blb) copper-equivalent (CuEq) at an average grade of 0.51 per cent CuEq, including 7.7 Blb of copper at 0.31 per cent Cu and 1.0 Blb of molybdenum at 0.039 per cent Mo, within 1.12 billion tonnes (Bt). Repeated mineralizing events over a fertile magmatic window of roughly 10 million years, three high-grade cores (refer to news release dated Oct. 7, 2025) and three drill-tested mineralized breccia corridors (refer to news release dated June 22, 2026), are consistent with more than one mineralized centre.
• Thirteen targets beyond the resource and its interpreted extensions: Two of the 17 ranked areas fall within or adjacent to the current resource footprint, two are interpreted extensions within 1.5 kilometres of it, and 13 lie beyond (Table 1).
• Five of the company's 2022 targets corroborated: The model outlined five of the nine exploration targets the company defined in 2022 without being provided those target outlines (refer to news release dated May 3, 2022).
• The strongest opportunity sits next to work already under way: The two highest-ranked areas outside the resource footprint sit 433 metres northeast (G01) and 1,304 metres south-southwest of it (G04), on the Mocoa-La Estrella corridor where drilling is under way and coincide with copper and molybdenum anomalies in surface sampling. The corridor remains undrilled for 1.7 kilometres south of the last hole.
• Eighty one square kilometres studied, more than 128,300 hectares in the land package: The same approach could be extended beyond it. The company is evaluating options for a broader program in the Jurassic belt.

"Mocoa already holds more than one billion tonnes, and it sits in a belt that remains underexplored. This study is the first pass across the core of that belt on ground we control, and it gives us 13 places to test beyond the resource, next to where we are drilling," said Edwin Naranjo Sierra, vice-president of exploration.

The modelling program

Mira Geoscience Ltd. is an independent geoscience consultancy specializing in three-dimensional geological and geophysical modelling. The study covered the nine-by-nine-kilometre core of the Mocoa project at a resolution of 25 metres and was completed in July, 2026.

The work had four stages. Mira first reprocessed the company's airborne magnetic data and reinverted it into three dimensions using an unconstrained magnetization vector inversion, a method that resolves both the strength and the direction of magnetization, and is therefore able to handle remanent magnetization, which is common in intrusive systems of this age and latitude. Mira then interpreted the structural architecture of the district from the magnetic and lidar (light detection and ranging) data, and unconstrained magnetic inversion model, mapping an east-northeast-trending set of strike-slip structures and a north-northeast-trending set that together control the geometry of the interpreted intrusive bodies. The interpretation was then propagated in three-dimensions to generate a geology model capturing both general lithology and key magnetic domains. This allowed for the implementation of a geology-constrained magnetization vector inversion with a greater sensitivity to variations within the interpreted geological domains. Lastly, Mira applied balanced random-forest predictive modelling to map probabilities of identifying the targeted feature within the resulting model. Because some data sets cannot be propagated in three dimensions, Mira generated the appropriate two- and three-dimensional products separately and compiled them into a single three-dimensional environment. The two-dimensional models map the probability of encountering soil geochemical anomalies at surface; the three-dimensional models map the probability of encountering high-grade assays at depth.

The predictive model was trained to recognize the combination of geophysical and geochemical characteristics related to known copper and molybdenum mineralization at Mocoa, and was then applied across the full two- and three-dimensional model extents. Targets of a different mineralization style are therefore not expected to be recovered by the models. Training data were drill hole assay intervals for the three-dimensional models and surface soil geochemistry for the two-dimensional models. Training and testing data were separated by spatial groups rather than at random, so that the model's ability to predict ground it had not been trained on could be evaluated, providing a means to estimate the quality of the prediction beyond the training and testing data. Mira delivered 34 model-selected locations, which the company has consolidated into 17 target areas.

What the model reproduced

Two of the 17 areas fall within or immediately adjacent to the current Mocoa resource footprint. Their recovery by the model is the internal control on the exercise: the areas were selected from the modelled data rather than from the company's resource outline. Beyond the deposit itself, the model independently reproduced five of the nine exploration targets that the company's geological team previously defined in 2022 from surface mapping, geochemistry and the earlier interpretation of the airborne survey data. Those target outlines were not provided to Mira in any format. The soil geochemistry and drill-hole data that informed the 2022 interpretation were, however, part of the study data set. The agreement between the model and the earlier targets is therefore corroboration of the company's interpretation and not a measure of discovery performance.

Two of the previously defined targets were confirmed with the model's highest classification values; three received partial support; one is not supported by any layer from the new study and will be reviewed; and the remaining three fall in areas where the company has not yet completed sufficient surface coverage to evaluate them.

Target areas

The company independently ranked the 17 areas using a weighting that reflects both the number and the type of data layers that support each one (magnetic architecture, modelled susceptibility, radiometric alteration signature, surface rock and soil geochemistry, mapped alteration, and structural setting). Rock geochemistry is one of the company's ranking layers; it was not used to train the predictive models, which were trained on drill-hole assays in three dimensions and on soil geochemistry in two dimensions. Areas supported by three or more independent layers are prioritized for follow-up, because no single layer defines a target on its own, whereas several coincident layers provide the context needed to define, categorize and rank one. A smaller number of strong indicators can therefore outrank a larger number of weaker ones, and the ranking is not reordered to make the layer count read sequentially. Area G03 falls within the current resource footprint and area G02 lies 296 metres east-southeast of its boundary; both correspond to known mineralization and serve as the internal control on the exercise. The ranked areas are summarized in Table 1.

Interpretation

The distribution of the target areas is consistent with the company's working model of Mocoa as a clustered system with more than one mineralized centre rather than a single deposit. The highest-ranked areas outside the current resource footprint lie along a corridor that runs northeast and south-southwest from the deposit, following the interpreted intersections of the two structural data sets.

Two features of the model outputs are of particular technical interest. The strongest single predictor in three dimensions was anomalous magnetic susceptibility -- the difference between the constrained inversion result and the starting model built from drill hole measurements. That the model learned from this variable rather than from proximity to mapped intrusions indicates that it is responding to information in the geophysical data that the existing geological interpretation does not already explain. In the two-dimensional setting, the strongest predictor was the thorium-to-potassium ratio, which is used as a proxy for potassium added to the near surface by hydrothermal fluids as opposed to potassium inherited from the host rock. Its predictive value links a low-cost airborne measurement to the company's surface soil geochemistry and offers a reconnaissance tool for the wider land package.

Next steps

The company will prioritize the ranked areas for ground follow-up, beginning with those closest to the current resource and to the Mocoa-La Estrella corridor, where mapping and surface sampling can be completed from existing access. Areas that retain support after that work will be considered for drill testing. The study also establishes an approach that could be applied beyond the 81-square-kilometre study area; the company is evaluating options for a broader exploration program on its regional land package. The work described in this news release was completed within the company's existing 2026 exploration budget; the drilling program at La Estrella and the timing of the PEA are unchanged.

Qualified person and technical notes

Edwin Naranjo Sierra, vice-president of exploration for Copper Giant, is the designated qualified person within the meaning of National Instrument 43-101 -- Standards of Disclosure for Mineral Projects, and has reviewed and approved the technical information in this news release. Mr. Naranjo holds an MSc in earth sciences and is a fellow of the Australasian Institute of Mining and Metallurgy (FAusIMM). Mr. Naranjo is not independent of the company.

The three-dimensional modelling, structural interpretation and predictive targeting described in this news release were completed by Mira Geoscience, an independent geoscience consultancy, under the supervision of Thomas Campagne, PGeo, senior geophysicist (EGBC registration No. 42956), who is the author of the underlying study and is independent of the company.

The airborne magnetic and radiometric data on which the modelling is based were acquired in 2021 and have been previously disclosed. The modelling, structural reinterpretation and targeting results reported here are new and are disclosed for the first time in this news release.

Copper Giant operates according to a rigorous quality assurance and quality control (QA/QC) protocol consistent with industry-best practices. For surface samples, 2.5 kilograms of material is taken on each outcrop using chip or channel techniques. Samples are taken by well-trained field helpers supervised by the geologist of the company. Samples were bagged, tagged and packaged for shipment by truck from Copper Giant's facilities in Mocoa, Colombia, to the ActLabs certified sample preparation facility in Medellin, Colombia. ActLabs is an accredited laboratory independent of the company. In order to monitor the continuing quality of assay data and the database, Copper Giant has implemented QA/QC protocols which include standard sampling methodologies, the insertion of certified copper and molybdenum standard materials, blanks, and duplicates (field, preparation and analysis) randomly inserted into the sampling sequence. No material QA/QC issues have been identified with respect to sample collection, security and assaying.

Inferred mineral resources are considered too speculative geologically to have economic considerations applied to them that would enable them to be categorized as mineral reserves. There is no certainty that all or any part of the inferred mineral resources will be upgraded to an indicated or measured category.

* Copper equivalent (CuEq) is calculated as: CuEq (per cent) equals Cu (per cent) plus 5.278 multiplied by Mo (per cent), utilizing metal prices of Cu -- $4.00 (U.S.)/lb and Mo -- $20.00 (U.S.)/lb and metal recoveries of 90 per cent Cu and 95 per cent Mo.

About the Mocoa porphyry system

The Mocoa project is located in Colombia's Department of Putumayo, approximately 10 kilometres from the town of Mocoa in the country's south. Copper Giant controls more than 128,300 hectares of district-scale tenure through granted titles and applications, covering a significant portion of the Jurassic porphyry belt-an underexplored and highly prospective metallogenic corridor within the northern Andes.

Mocoa was first identified in 1973 through a regional geochemical survey conducted by the United Nations and the Colombian government. Follow-up programs between 1978 and 1983 included geological mapping, IP and magnetic geophysics, surface sampling, drilling, and metallurgical testing. Subsequent drilling by B2Gold in 2008 and 2012 refined the geological interpretation and confirmed the large scale of the system.

The deposit is hosted in Middle Jurassic dacite and quartz-diorite porphyries intruding andesitic to dacitic volcanics of the Central Cordillera, a 30-kilometre-wide tectonic belt that extends into Ecuador and also contains major porphyry systems such as Mirador, Warintza, San Carlos and Panantza. Mocoa exhibits classic porphyry-style zonation with a potassic core surrounded by sericite and propylitic alteration. Mineralization consists principally of disseminated chalcopyrite and molybdenite, accompanied locally by bornite and chalcocite, and is associated with stockwork veining and hydrothermal breccias.

A distinguishing geological feature of Mocoa is the presence of a fertile magmatic window spanning roughly 10 million years, a prolonged and unusually productive interval of magma generation and evolution that is not commonly observed in other Jurassic porphyry systems within the same belt. This extended fertile period provides a compelling explanation for the system's large metal endowment, broad alteration footprint, and overlapping intrusive and hydrothermal events.

The deposit demonstrates more than 1,100 metres of vertical continuity, with multiple intrusive phases, brecciation episodes and vein generations reflecting a dynamic and long-lived magmatic-hydrothermal evolution, likely influenced by more than one porphyry centre. Mocoa remains open along several directions and several satellite targets across the broader land package support the interpretation of a district-scale mineralized system.

Mocoa's mineral resource estimate comprises inferred resources of 12.7 billion pounds (Blb) copper equivalent (CuEq) at an average grade of 0.51 per cent CuEq, including 7.7 Blb of copper at 0.31 per cent Cu and 1.0 Blb of molybdenum at 0.039 per cent Mo, within 1,120 million tonnes (Mt).

About Copper Giant Resources Corp.

Copper Giant Resources is part of the Fiore Group, a private and well-established Canadian organization known for building successful, high-impact companies across the natural resource sector. Copper Giant was formed with a singular focus: to advance high-quality copper projects beyond resource definition-responsibly, efficiently and with long-term positive impact.

The company is led by a team with uncommon experience, having successfully taken some of the few major copper mines developed in the past two decades from discovery through to construction.

Copper Giant's current focus is the Mocoa copper-molybdenum deposit in southern Colombia, one of the largest undeveloped resources of its kind in the Americas. Recent exploration success has revealed potential well beyond its original footprint, highlighting Mocoa as a broader district-scale opportunity -- and the catalyst for the company's name and evolution.

Guided by the values of respect and responsibility, and grounded in its good neighbour philosophy, Copper Giant is committed to creating enduring values for all stakeholders and playing a meaningful role in the global energy transition.

We seek Safe Harbor.